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The air freight supply chain consists of several agents. Among them are truckers, who ship freight between customers and airports, and airlines, who transport the freight in-between airports. Handling agents link the two: they receive freight from truckers, consolidate it and forward it to the airlines and vice versa. They need to organise and execute processes efficiently. Digitalisation offers great potential in this context. Furthermore, handling agents' workers handle most of the freight manually. The resulting elevated levels of physical strain make workers prone to muscular-skeletal disorders. Based on a case study at two handling agents, we first investigate the handling agents' process chain from an economic perspective. We identify shortcomings and present countermeasures with an emphasis on digitalisation. Second, we analyse the physical strain on the workers and evaluate devices that could improve ergonomics. The paper concludes with a discussion of recommended means for economic and ergonomic improvement. [ABSTRACT FROM AUTHOR]

Exoskeletons are wearable devices that can enhance human strength and are used in various fields, such as healthcare and the manufacturing industry. However, poorly designed exoskeletons can strain the muscles and cause injuries to users. The objectives of this review paper are to review the ergonomics factors that contribute to a harmonious user-exoskeleton interaction and to explore the current trends, challenges, and future directions for developing ergonomically designed exoskeletons. In this review, 102 relevant papers published from 2015 to 2023 were retrieved from Web of Science, Scopus, and Google Scholar. These papers were considered in the analysis for gathering relevant information on the topic. The authors identified six ergonomics factors, namely kinematic compatibility, contact pressure, postural control, metabolic cost, cognitive workload, as well as task demands and workplace conditions, that can influence the interaction between users and exoskeletons. By understanding and addressing these ergonomics factors during the design and development process, exoskeleton designers can enhance the user experience and adoption of the devices in daily living activities and industrial applications. [ABSTRACT FROM AUTHOR]

Background: Soft, wearable, powered exoskeletons are novel devices that may assist rehabilitation, allowing users to walk further or carry out activities of daily living. However, soft robotic exoskeletons, and the more commonly used rigid exoskeletons, are not widely adopted clinically. The available evidence highlights a disconnect between the needs of exoskeleton users and the engineers designing devices. This review aimed to explore the literature on physiotherapist and patient perspectives of the longer-standing, and therefore greater evidenced, rigid exoskeleton limitations. It then offered potential solutions to these limitations, including soft robotics, from an engineering standpoint. Methods: A state-of-the-art review was carried out which included both qualitative and quantitative research papers regarding patient and/or physiotherapist perspectives of rigid exoskeletons. Papers were themed and themes formed the review's framework. Results: Six main themes regarding the limitations of soft exoskeletons were important to physiotherapists and patients: safety; a one-size-fits approach; ease of device use; weight and placement of device; cost of device; and, specific to patients only, appearance of the device. Potential soft-robotics solutions to address these limitations were offered, including compliant actuators, sensors, suit attachments fitting to user's body, and the use of control algorithms. Conclusions: It is evident that current exoskeletons are not meeting the needs of their users. Solutions to the limitations offered may inform device development. However, the solutions are not infallible and thus further research and development is required. [ABSTRACT FROM AUTHOR]

Purpose: The manual, user-operated Arise Standing Wheelchair (SWC) is the end result of multiple design iterations based on findings and feedback from user trials. The Arise SWC provides standing functionality, outdoor mobility, affordability, and customisability. This paper describes a long-term community integration study of the Arise SWC. Methods: All participants (N = 8; 7 Male, 1 Female) were persons with spinal cord injuries. During the study period (six months), the participants integrated the Arise SWC into their daily routines. To assess the impact of the Arise SWC on various outcome measures, participants' responses were captured using a Likert-scale questionnaire at the beginning of the study, after 30 days, and after 180 days of Arise SWC usage. Results: The long-term usage of the Arise SWC positively impacted the users' standing performance (ability to stand regularly, stand at different locations, and stand in community settings), productive ability (accessibility to environmental controls and ability to perform overhead reaches), and pathophysiology (spasticity and ability to get proper sleep). Furthermore, all the users were able to independently move using the Arise SWC over even and uneven terrain (some needed minimal assistance over uneven terrain). Conclusions: Overall, we believe that Arise SWC will benefit eligible users and improve their ability and performance in daily activities. IMPLICATIONS FOR REHABILITATION: Arise Standing Wheelchair (SWC) positively impacted users' standing performance, mobility over uneven terrain, ability to transfer between surfaces, and overhead reaches. Arise SWC positively impacted users' overall physical well-being. The study shows that Arise SWC improved the users' overall daily living activities. Arise SWC, an affordable solution, is anticipated to have a global impact, especially on low-income nations. [ABSTRACT FROM AUTHOR]

An assistive intelligence sensor device is a comprehensive solution aimed at improving the mobility and independence of people with visual or hearing impairments. It integrates an array of advanced hardware components including Node MCU and Arduino board for data processing, GPS module with antenna for accurate location tracking, emergency key switch for instant warning activation, and time of flight sensor for accurate obstacle detection. A vibrator for haptic feedback, a Wi-Fi module for seamless connectivity and a display for visual feedback. Additionally, the device includes a laptop with a Python-coded program for real-time object detection using a camera, which helps identify and classify objects in the user's environment. Leveraging the Blynk IoT app, the device facilitates instant communication with caregivers or emergency responders, ensuring peace of mind and timely assistance when needed. Also, apart from detecting nearby obstacles and providing haptic feedback, the device uses a GPS module to live track the user's location, ensuring safety and security during outdoor navigation. The integration of intelligent software algorithms further enhances the functionality of the device, enabling it to adapt to various environments and user needs. This manuscript provides a comprehensive overview of the device's design, functionality, and potential applications to improve the quality of life of individuals with disabilities. By integrating state-of-the-art hardware components with intelligent software solutions, the Assistive Intelligence sensor device represents a significant advance in assistive technology, empowering users to navigate their surroundings with confidence and independence. [ABSTRACT FROM AUTHOR]

Assistive devices like Standing Wheelchairs (SWC) have remained out of reach of the economically underprivileged even before the pandemic-induced financial downturn, and more so now. This paper describes the mechanical design of a manual user-actuated SWC that is cost-effective (equivalent of USD 210 in India, ex-factory) and has special features that minimise user effort and accommodates varying body weights (50–110 kg) and dimensions (1.52–1.83 m height). The design includes a six-bar mechanism and spring balancing to optimise user effort during operation. The optimised gas spring incorporates adjustability to minimise each user's force for sit-stand-sit transitions. The handle shape is ergonomically designed using kinematic analysis to provide convenient gripping positions for actuation. The design has been customised based on parametric studies to suit varying body weights. Overall, the SWC design provides standing functionality with ease of operation, safety locks, customisability, affordability, outdoor mobility and is aesthetically pleasing. Customisability and the low cost of the device would enhance the accessibility of the SWC to a larger group of eligible users. Manual user-operated standing wheelchair design using a six-bar mechanism Spring balancing used to reduce user effort to self-lift to the standing position Kinematic analysis used to determine convenient handle location for user ease Customisability for wide range of users to ensure correct posture, optimal effort Design refined through multiple iterations using inputs from users and clinicians Design commercialised at an affordable cost, making it accessible to a larger population [ABSTRACT FROM AUTHOR]

This paper presents a system that utilizes vision transformers and multimodal feedback modules to facilitate navigation and collision avoidance for the visually impaired. By implementing vision transformers, the system achieves accurate object detection, enabling the real-time identification of objects in front of the user. Semantic segmentation and the algorithms developed in this work provide a means to generate a trajectory vector of all identified objects from the vision transformer and to detect objects that are likely to intersect with the user's walking path. Audio and vibrotactile feedback modules are integrated to convey collision warning through multimodal feedback. The dataset used to create the model was captured from both indoor and outdoor settings under different weather conditions at different times across multiple days, resulting in 27,867 photos consisting of 24 different classes. Classification results showed good performance (95% accuracy), supporting the efficacy and reliability of the proposed model. The design and control methods of the multimodal feedback modules for collision warning are also presented, while the experimental validation concerning their usability and efficiency stands as an upcoming endeavor. The demonstrated performance of the vision transformer and the presented algorithms in conjunction with the multimodal feedback modules show promising prospects of its feasibility and applicability for the navigation assistance of individuals with vision impairment. [ABSTRACT FROM AUTHOR]

Only 1 in 10 people with disabilities can access assistive devices, underlining the critical need for low-cost assistive products. This paper describes the design evolution of a manual user-operated standing wheelchair (SWC), translating from prototype to product. The SWC design has been refined over 5 years through multiple iterations based on comments from user trials. The SWC product, Arise, provides standing functionality, facile outdoor mobility, affordability, customisability, and is aesthetically pleasing. A one-time fitting and training ensure optimal effort for operation, correct posture, and comfortable user experience. The SWC accommodates users of different sizes and body weights (up to 110 kg) and minimises user effort with the use of a gas spring. Incorporating discrete adjustments enables customisation while retaining the advantages of mass manufacturing, which is necessary for ensuring affordability. The SWC has been field-tested and well received by over 100 wheelchair users, and Arise was launched recently by the industry partner. It should be noted that RESNA cautions on the use of any standing device without medical consultation. Nevertheless, with appropriate dissemination and awareness, it is anticipated that the affordable SWC product, Arise, will immensely benefit the eligible users and make a difference in their quality of life. Provides standing functionality, outdoor mobility, affordability and customisability Accommodates users of different sizes and body weights in a mass-manufacturable design Ergonomic design reduces net user effort during sit-to-stand, stand-to-sit activity Design iterated and refined based on feedback from over 100 user trials [ABSTRACT FROM AUTHOR]

Recent advances in machine and deep learning algorithms and enhanced computational capabilities have revolutionized healthcare and medicine. Nowadays, research on assistive technology has benefited from such advances in creating visual substitution for visual impairment. Several obstacles exist for people with visual impairment in reading printed text which is normally substituted with a pattern-based display known as Braille. Over the past decade, more wearable and embedded assistive devices and solutions were created for people with visual impairment to facilitate the reading of texts. However, assistive tools for comprehending the embedded meaning in images or objects are still limited. In this paper, we present a Deep Learning approach for people with visual impairment that addresses the aforementioned issue with a voice-based form to represent and illustrate images embedded in printed texts. The proposed system is divided into three phases: collecting input images, extracting features for training the deep learning model, and evaluating performance. The proposed approach leverages deep learning algorithms; namely, Convolutional Neural Network (CNN), Long Short Term Memory (LSTM), for extracting salient features, captioning images, and converting written text to speech. The Convolution Neural Network (CNN) is implemented for detecting features from the printed image and its associated caption. The Long Short-Term Memory (LSTM) network is used as a captioning tool to describe the detected text from images. The identified captions and detected text is converted into voice message to the user via Text-To-Speech API. The proposed CNN-LSTM model is investigated using various network architectures, namely, GoogleNet, AlexNet, ResNet, SqueezeNet, and VGG16. The empirical results conclude that the CNN-LSTM based training model with ResNet architecture achieved the highest prediction accuracy of an image caption of 83%. [ABSTRACT FROM AUTHOR]

The manual user-operated Arise Standing Wheelchair (SWC) is the end-result of multiple design iterations based on comments from user trials. The Arise SWC provides standing functionality, outdoor mobility, affordability, and customizability. This paper describes a user experience study of the Arise SWC's pre-commercial version. Thirty participants (N = 30, 25 Male, 5 Female) were recruited for the study. All the participants were people with spinal cord injury. The study was conducted over a period of six weeks (five participants per week) within the hospital premises under the supervision of clinical personnel. A 30 min interactive training session involved thirteen activities. During the trial period, the participants were trained to perform twenty-two activities to familiarize themselves with the SWC. The participants were also trained to perform four functional usage activities with the SWC. At the end of the study, participant responses to ten outcome measures were captured using a smiley-based Likert-scale questionnaire. A majority of the participants (93.3%) felt happy when they stood in the SWC. The majority participants (83.3%) preferred the Arise SWC over their current wheelchair. Also, 80% participants anticipated that they could get more work done at home using the standing function of the wheelchair. A one-time fitting and training ensured optimal effort for the SWC operation, correct posture, and comfortable user experience. With proper dissemination and awareness, it is believed that the Arise SWC will benefit eligible users and improve their quality of life. The Arise wheelchair provides standing functionality, outdoor mobility, affordability, and customizability. Study confirms that incorporating standing functionality can improve the quality of life for wheelchair users. The majority of users were happy, felt safe and expected to do more with the standing functionality. Study results support further testing in real world conditions beyond the hospital setting. [ABSTRACT FROM AUTHOR]

Millions of people suffer from a decline in grip strength and hand function due to conditions such as chronic disease, injuries, and aging. Hand function decline results in difficulties with performing activities of daily living, where grasping, lifting, and releasing objects are essential. There is an increasing demand for assistive gloves to enhance users' hand function and improve their independence. This paper presents the design of a new bidirectional lightweight assistive glove and demonstrates its capabilities through comprehensive experiments using human subjects. The developed glove can provide adequate power augmentation for grasping and releasing objects due to its simple yet effective design using spring steel strips and linear actuators. The glove directly transfers assistive forces to users' fingertips without any complex intermediate mechanism, and its low weight of 196 g promotes its usability. The rigorous experiment design provided a thorough assessment of the developed glove by accounting for both parameters of size and weight of objects and by including subjects with different hand sizes. To quantify the glove's performance, the subjects' muscle activity, their finger and thumb joints' trajectories, and their grasping forces while using the glove were investigated. The glove could generate the necessary grasping forces to assist with lifting common-household objects. The subjects' muscle activity significantly decreased when using the glove for object manipulation. The trajectories of the index finger and thumb joints when using the glove were dependent on the size of objects similar to natural unassisted grasping. The obtained results demonstrate the glove's ability for grip power augmentation of individuals with declining hand strength. [ABSTRACT FROM AUTHOR]

The solution described in this paper allows wheelchair users with reduced mobility or physical disabilities to move independently throughout an aircraft and to board and disembark autonomously. A motorized aircraft seat was developed to substitute current aircraft aisle wheelchairs. The real-scale functional prototype was evaluated in a focus group. The results show that the proposed solution is considered superior to current solutions in nine of twenty requirements and neutral in one of them. There was low agreement among the focus group participants in ten requirements, even though the focus group discussion brought interesting reflections, including positive feedback, critics, and suggestions for further research and development in the field. The design concept consists of a motorized wheelchair that becomes the seat of the aircraft when anchored on a docking platform attached to the aircraft fuselage via a seat track. The manoeuvring is allowed by a rotating mechanism, which solves a critical function that is to enable wheelchair manoeuvring in the narrow aisles of aircraft. A parking assistant system aids the control of the motorized wheelchair. The main benefits of this solution are to reduce seat transfers during the flight experience and to provide more autonomy and comfort for passengers during flights. A motorized aircraft seat was developed to replace traditional aircraft aisle wheelchairs. A real-scale functional prototype was built, tested in an aircraft mockup, and evaluated in a focus group. The main benefits of the proposed solution are to reduce the number of chair transfers during the flight experience and to provide more autonomy for passengers. Additional benefits are to allow the passengers to experience less physical and emotional stresses, to enter the aircraft corridor looking ahead, and to sit in any aisle position in the aircraft. [ABSTRACT FROM AUTHOR]

In this paper, a design optimization approach for assistive devices based on the simulation of the robot and human model is proposed. The proposed human model in the loop (HMIL) approach exploits an augmented human-robot model for interaction analysis, and to evaluate and modify the assistive device effectiveness. In this regard, a lower-limb assistive device (RoboWalk) for elderly and a human skeletal system are modeled and augmented to use the human-robot interaction forces in the proposed HMIL strategy. Due to the particular design of RoboWalk, a complete set of constraints are specified to ensure the solution feasibility and compatibility of the device in different poses. This constrained optimization problem is solved by weighted sum particle swarm optimization (WSPSO) and multi-objective PSO (MOPSO) algorithm. As a result of this optimization, several appropriate sets of design parameters are found to minimize the load on human joints, actuator torque and mass. Among the obtained optimal points, the point minimizing an introduced index is selected as the final design. [ABSTRACT FROM AUTHOR]

Abstract Background Soft, wearable, powered exoskeletons are novel devices that may assist rehabilitation, allowing users to walk further or carry out activities of daily living. However, soft robotic exoskeletons, and the more commonly used rigid exoskeletons, are not widely adopted clinically. The available evidence highlights a disconnect between the needs of exoskeleton users and the engineers designing devices. This review aimed to explore the literature on physiotherapist and patient perspectives of the longer-standing, and therefore greater evidenced, rigid exoskeleton limitations. It then offered potential solutions to these limitations, including soft robotics, from an engineering standpoint. Methods A state-of-the-art review was carried out which included both qualitative and quantitative research papers regarding patient and/or physiotherapist perspectives of rigid exoskeletons. Papers were themed and themes formed the review’s framework. Results Six main themes regarding the limitations of soft exoskeletons were important to physiotherapists and patients: safety; a one-size-fits approach; ease of device use; weight and placement of device; cost of device; and, specific to patients only, appearance of the device. Potential soft-robotics solutions to address these limitations were offered, including compliant actuators, sensors, suit attachments fitting to user’s body, and the use of control algorithms. Conclusions It is evident that current exoskeletons are not meeting the needs of their users. Solutions to the limitations offered may inform device development. However, the solutions are not infallible and thus further research and development is required.

Introduction: Possibilities Project Plus (PPPlus) is a free assistive device (AD) marketplace and research platform for persons with disabilities. The overall aim of PPPlus is to increase access to ADs through an integration of service, research and education. To maximize positive outcomes and reflect community needs a co-design approach informed by guiding principles of Integrated Knowledge Translation (IKT) was adopted, with examination of methods related to Experience Based Co-design. The integrated nature of PPPlus benefits from the use of specific engagement strategies that align with IKT principles to meet project objectives. The extent to which partnership and engagement strategies are specified in the rehabilitation research literature vary greatly and studies that provide information on specific strategies used to operationalize principles are limited. The objective of this manuscript is to provide a description of the co-design approach and the specific strategies that strive to achieve meaningful user engagement. By reflecting on these processes we also report on limitations and strategies for improvement. Methods: The co-design approach is highlighted through specific project activities including a representative governance structure, ongoing environmental scan and iterative Health Equity Impact Assessments (HEIA). The inherent engagement strategies that align with IKT and co-design principles are described. Discussion: The most impactful engagement strategies included early engagement of partners throughout all phases, ensuring project relevance across partners through alignment of objectives with complementary aims, using HEIAs to promote equitable outcomes from diverse stakeholders, the representative governance structure beyond individuals with disabilities and caregivers, and the use of experiences and stories to inform development. Next steps: This examination of specific strategies related to co-design focused on partnership engagement and informed targets for enhancement of the PPPlus initiative. These include being more intentional in developing a more rigorous process for evaluation that includes an assessment of strategies and their impact--especially as related to partner engagement. In addition, ongoing and enhanced efforts will focus on developing knowledge products that bring to life the most salient experience-based user stories emerging from the environmental scan with these being used to drive distinct co-creation events as well as serve other knowledge mobilization purposes (i.e., supporting policy change). [ABSTRACT FROM AUTHOR]

This study assessed the effectiveness of a passive back support exoskeleton during a mechanical loading task. Fifteen healthy participants performed a simulated patient transfer task while wearing the Laevo (version 2.5) passive back support exoskeleton. Collected metrics encompassed L5-S1 joint moments, back and abdominal muscle activity, lower body and back kinematics, center of mass displacement, and movement smoothness. A statistical parametric mapping analysis approach was used to overcome limitations from discretization of continuous data. The exoskeleton reduced L5-S1 joint moments during trunk flexion, but wearing the device restricted L5-S1 joint flexion when flexing the trunk as well as hip and knee extension, preventing participants from standing fully upright. Moreover, wearing the device limited center of mass motion in the caudal direction and increased its motion in the anterior direction. Therefore, wearing the exoskeleton partly reduced lower back moments during the lowering phase of the patient transfer task, but there were some undesired effects such as altered joint kinematics and center of mass displacement. Statistical parametric mapping analysis was useful in determining the benefits and hindrances produced by wearing the exoskeleton while performing the simulated patient transfer task and should be utilized in further studies to inform design and appropriate usage. [ABSTRACT FROM AUTHOR]

Lumbar stabilization exercises are commonly employed in the rehabilitation of patients with low back pain. However, many patients discontinue these exercises, generally calisthenics using various postures or tools, due to the difficulty of providing an appropriate exercise load intensity. This challenge results in an inability to apply the desired strength to the target lumbar muscles and sometimes leads to an excessive load on unintended areas during calisthenics. Consequently, a method that enables patients to exercise continuously and progressively recover is required, specifically one that can target the lumbar muscles with a desired load. To address this issue, we propose a rehabilitation assistive device that quantitatively controls the lumbar spine load. In isometric lumbar stabilization exercises, our method involves precise compensation for gravity. The device, equipped with a series elastic actuator, is positioned beneath the patient in a lying posture. It applies an assistive force in the direction opposite to gravity, enabling precise control of the load on the lumbar region and reducing the vertical load on the spine. To validate the effectiveness of our proposed method, we conducted experiments with 20 healthy subjects across three exercises and analyzed the electromyography signal using nonparametric statistical methods. Our objective was to determine whether the load on the target lumbar muscles could be precisely and gradually controlled. The statistical results indicate that exercises performed using the proposed device produce statistically significant load changes in the target lumbar muscles. [ABSTRACT FROM AUTHOR]

To examine the biomechanical demands of manual wheelchair propulsion, it is crucial to determine the wheelchair user's (WCU) force for propulsion technique parameter calculation. When using a pushrim-activated power-assisted wheelchair (PAPAW) on a wheelchair ergometer, a combined propulsion force from the WCU and PAPAW is exerted. To understand PAPAW's assistance and distinguish the WCU's force application from the force exerted by the PAPAW, both propulsion components must be assessed separately. In this study, a calibration of the PAPAW on an ergometer was developed to achieve this separation. The calibration consists of five steps: (I) Collecting data on force and velocity measured from the ergometer, along with electrical current and velocity from the PAPAW. (II) Synchronizing the velocity signals of the wheelchair ergometer and PAPAW using cross-correlation. (III) Calibrating the PAPAW's electromotors to convert electrical current (mA) to force (N). A product-specific motor constant of 0.30, provided an average ICC of 0.563, indicating a moderate agreement between the raw ergometer data (N) and the motor constant-converted drive-rim (PAPAW) data (from mA to N). (IV) Subtracting the PAPAW's force signal from the ergometer's measured force to isolate forces generated by the WCU. (V) Using markerless motion capture to determine and validate the phase of hand contact with the handrim. This technical note provides an example of PAPAW calibration for researchers and clinicians. It emphasizes the importance of integrating this calibration into the development of PAPAW devices to reveal the complex interaction between PAPAW and WCU during wheelchair propulsion. [ABSTRACT FROM AUTHOR]

Objectives: This is a need assessment study conducted on wheelchair users with limited locomotion ability in the legs in the Ahmedabad urban region in India. The results describe the unmet needs in the indoor and outdoor settings. Even though India is a large country with huge diversity in local climate and terrain and big socio-economic disparity, need assessment studies for assistive technology across various socio-economic or with region specificity are extremely scarce. Accordingly, this study aims to understand the needs and requirements of mobility assistive technology users that are not met by their current devices. Methods: Data from 69 participants having physical disabilities were collected through interviews and 6 of the participants were video-tapped to observe their daily routine. Meanwhile, a qualitative analysis of the collected data was carried out. Results: The analysis highlights problems of participants, such as working in the kitchen, inability to perform everyday indoor tasks, inaccessibility of toilets and public transport, etc. Discussion: A mixture of qualitative and quantitative data analysis showed that the major features that the Indian wheelchair users wanted were the ability to adjust the height of the chair, the ability to reach objects without too much maneuvering of the wheelchair, ease of transfer from wheelchair to toilet seat and back and also meet outdoor needs. Hence, a wheelchair that can be used in both indoor and outdoor settings is one of the most imminent needs for such wheelchair users. [ABSTRACT FROM AUTHOR]

Hand exoskeleton robots have been developed as rehabilitation robots and assistive devices. Based on the material used, they can be soft or hard exoskeletons. Soft materials such as fabric can be used as a component of the wearable robot to increase comfortability. In this paper, we proposed an affordable soft hand exoskeleton based on fabric and motor-tendon actuation for hand flexion/extension motion assistance in daily activities. On-off control and PI compensator were implemented to regulate finger flexion and extension of the soft exoskeleton. The controllers were embedded into a microcontroller using Simulink software. The input signal command comes from the potentiometer and electromyography (EMG) sensor to drive the flexion/extension movement. Based on the experiments, the proposed controller successfully controlled the exoskeleton hand to facilitate a user in grasping various objects. The proposed soft hand exoskeleton is lightweight, comfortable, portable, and affordable, making it easily manufactured using available hardware and open-source code. The developed soft exoskeleton is a potential assistive device for a person who lost the ability to grasp objects.

In this paper, we propose a novel system in which a human and a device work in unison on a single task with the aim to simultaneously support human cognitive and physical functions. In this system, the cognitive and physical burdens of the task are shared between the human and device, with the human understanding the entire task and performing rough upstream actions. Additionally, the device understands the surrounding environment, objects, and the human and executes detailed downstream actions. A prototype device was developed to assist in solving silhouette puzzles that abstract and generalize cognitive and physical tasks. The prototype is a pen-shaped device held in the user’s hand. The device picks up puzzle pieces and rotates them to the appropriate position. A display is placed in front of the user and provides feedback information for communication between the system and user. Experiments showed that the proposed device reduced the time required to solve these puzzles. Furthermore, the work was found to be accurate with no errors, and the time required was stable with no irregularities. The subjective evaluation results using the NASA Task Load Index showed that the proposed system can decrease mental load and burden. Moreover, it was confirmed that the human and device must communicate with each other to work simultaneously on one task. In conclusion, the proposed device can support human cognitive and physical functions simultaneously.

For individuals who are physically challenged, there are currently plenty of smart gadgets available. Existing technology does have several significant disadvantages, such as the cost and accessibility to an average person. The wheelchairs of today are also heavy and challenging to physically transport from one place to another. The efficacy of contemporary wheelchairs equipped with advanced robotic technology in improving the overall well-being of those with disabilities is hindered by their exorbitant price, technical constraints, and safety concerns. To address the aforementioned issue, the present research study proposes the implementation of a technologically advanced wheelchair controlled using smart gestures. For the elderly and the disabled to move around, wheelchairs and similar assistive devices are required. However, because it requires help from others to move, hand gesture-controlled wheelchairs can help individuals with physical disabilities by enabling them to move the chair on their own with a few simple gestures. The suggested prototype would be highly beneficial to them since it will allow them to operate the wheelchair with their hand gestures, through which the wheelchair's directions may be changed and be used to navigate. This system can be controlled by a microcontroller (Arduino). It is clear from the findings that the proposed research has designed a wheelchair prototype that is affordable, and gesture controlled. [ABSTRACT FROM AUTHOR]

This article describes the design of indoor-outdoor mobility wheelchair for Indian settings. The design of such a wheelchair has not been available for the low resourced settings. This work developed a prototype wheelchair with features to provide variable elevation of seat (elevation of 300 mm: seat height from floor - 500 mm to 850 mm), 360 degree rotations of seat and ease of seat transfer to make the wheelchair relevant for accessibility in indoor settings. The device is powered by a battery (24 V 18 Ah LifePo4) and electric motor (350 watt with driving speed up to 20 km/hour) thereby making it suitable for indoor use rather than conventional fossil fuel powered vehicles. Its additional feature of having visibility from other vehicles, front light, and ability of driving on different terrains make it suitable for outdoor use. The mobility wheelchair is affordable (manufacturing cost for prototype was around 325 US $) in India. We have further provided justification for all the technical specifications of the components we used. The wheelchair was fabricated locally in our workshop. [ABSTRACT FROM AUTHOR]

The successful development of a system realizing color sonification would enable auditory representation of the visual environment. The primary beneficiary of such a system would be people that cannot directly access visual information—the visually impaired community. Despite the plethora of sensory substitution devices, developing systems that provide intuitive color sonification remains a challenge. This paper presents design considerations, development, and the usability audit of a sensory substitution device that converts spatial color information into soundscapes. The implemented wearable system uses a dedicated color space and continuously generates natural, spatialized sounds based on the information acquired from a camera. We developed two head-mounted prototype devices and two graphical user interface (GUI) versions. The first GUI is dedicated to researchers, and the second has been designed to be easily accessible for visually impaired persons. Finally, we ran fundamental usability tests to evaluate the new spatial color sonification algorithm and to compare the two prototypes. Furthermore, we propose recommendations for the development of the next iteration of the system. [ABSTRACT FROM AUTHOR]

Haptic information is essential in everyday activities, especially for visually impaired people in terms of real-world navigation. Since human haptic sensory processing is nonlinear, asymmetric vibrations have been widely studied to create a pulling sensation for the delivery of directional haptic cues. However, the design of an input control signal that generates asymmetric vibrations has not yet been parameterised. In particular, it is unclear how to quantify the asymmetry of the output vibrations to create a better pulling sensation. To better understand the design of an input control signal that generates haptic directional cues, we evaluated the effect of the pulling sensations corresponding to the three adjustable parameters (i.e., delay time, ramp-down step length, and cut-off voltage) in a commonly applied step-ramp input signal. The results of a displacement measurement and a psychophysical experiment demonstrate that when the quantified asymmetry ratio is in a range of 0.3430–0.3508 with an optimised cut-off voltage for our hand-held device, the haptic directional cues are better perceived by participants. Additionally, the results also showed a superior performance in haptic delivery by shear forces than normal forces. [ABSTRACT FROM AUTHOR]

Task-specific rehabilitation is a key indicator for successful rehabilitation to improve the upper limb performance after stroke. Assistive robotic and non-robotic devices are emerging to provide rehabilitation therapy; however, the effectiveness of task-specific training programs using assistive training devices compared with task-specific usual care training has not been summarized yet. Therefore, the effectiveness of task-specific training using assistive arm devices (TST-AAD) compared with task-specific usual care (TSUC) on the upper limb performance of patients with a stroke was investigated. To assess task specificity, a set of criteria was proposed: participation, program, relevant, repeated, randomized, reconstruction and reinforced. Out of 855 articles, 17 fulfilled the selection criteria. A meta-analysis was performed on the Fugl-Meyer Assessment scores in the subacute and chronic stages after stroke and during follow-up. Both TST-AAD and TSUC improved the upper limb performance after stroke. In the sub-acute phase after stroke, TST-AAD was more effective than TSUC in reducing the upper limb impairment, although findings were based on only three studies. In the chronic phase, TST-AAD and TSUC showed similar effectiveness. No differences between the two types of training were found at the follow-up measurements. Future studies should describe training, device usage and criteria of task specificity in a standardized way to ease comparison. Arm or hand function is often undertreated in stroke patients, assistive training devices may be able to improve the upper limb performance. Task-specific training using assistive devices is effective in improving the upper limb performance after stroke. Task-specific training using assistive devices seems to be more effective in reducing impairment compared with task specific usual care in the subacute phase after stroke, but they are equally effective in the chronic phase of stroke. [ABSTRACT FROM AUTHOR]

Background: Chronic stroke patients usually experience reduced hand functions, impeding their ability to perform activities of daily living (ADLs) independently. Additionally, improvements in hand functions by physical therapy beyond six months after the initial onset of stroke are much slower than in the earlier months. As such, chronic stroke patients could benefit from an assistive device to enhance their hand functions, allowing them to perform ADLs independently daily. In recent years, soft robotics has provided a novel approach to assistive devices for motor impaired individuals, offering more compliant and lightweight alternatives to traditional robotic devices. The scope of this study is to demonstrate the viability of a fabric-based soft robotic (SR) glove with bidirectional actuators in assisting chronic stroke study participants with hand impairments in performing ADLs. Methods: Force and torque measurement tests were conducted to characterize the SR Glove, and hand functional tasks were given to eight chronic stroke patients to assess the efficacy of the SR Glove as an assistive device. The tasks involved object manipulation tasks that simulate ADLs, and the series of tasks was done by the participants once without assistance for baseline data, and once while using the SR Glove. A usability questionnaire was also given to each participant after the tasks were done to gain insight into how the SR Glove impacts their confidence and reliance on support while performing ADLs. Results: The SR Glove improved the participants' manipulation of objects in ADL tasks. The difference in mean scores between the unassisted and assisted conditions was significant across all participants. Additionally, the usability questionnaire showed the participants felt more confident and less reliant on support while using the SR Glove to perform ADLs than without the SR Glove. Conclusions: The results from this study demonstrated that the SR Glove is a viable option to assist hand function in chronic stroke patients who suffer from hand motor impairments. [ABSTRACT FROM AUTHOR]

The rapid expansion of virtual reality (VR) and augmented reality (AR) into various applications has increased the demand for hands-free input interfaces when traditional control methods are inapplicable (e.g., for paralyzed individuals who cannot move their hands). Facial electromyogram (fEMG), bioelectric signals generated from facial muscles, could solve this problem. Discriminating facial gestures using fEMG is possible because fEMG signals vary with these gestures. Thus, these signals can be used to generate discrete hands-free control commands. This study implemented an fEMG-based facial gesture recognition system for generating discrete commands to control an AR or VR environment. The fEMG signals around the eyes were recorded, assuming that the fEMG electrodes were embedded into the VR head-mounted display (HMD). Sixteen discrete facial gestures were classified using linear discriminant analysis (LDA) with Riemannian geometry features. Because the fEMG electrodes were far from the facial muscles associated with the facial gestures, some similar facial gestures were indistinguishable from each other. Therefore, this study determined the best facial gesture combinations with the highest classification accuracy for 3–15 commands. An analysis of the fEMG data acquired from 15 participants showed that the optimal facial gesture combinations increased the accuracy by 4.7%p compared with randomly selected facial gesture combinations. Moreover, this study is the first to investigate the feasibility of implementing a subject-independent facial gesture recognition system that does not require individual user training sessions. Lastly, our online hands-free control system was successfully applied to a media player to demonstrate the applicability of the proposed system. [ABSTRACT FROM AUTHOR]

This study aims to characterize contact forces between humans and tools during activities of daily living (ADL) to provide information to a personal care robot. The study was conducted on non-impaired subjects to capture various static and dynamic force levels when making contact with three different robotic tools, each designed to perform an ADL task: hair brushing, face wiping, and face shaving. The static trial of the study involved 21 participants. Forces were collected at fixed locations for each task and used to develop models for each participant. Extraction of the maximum force levels was performed for both the maximum and desired levels of force. The dynamic trial involved 24 individuals. Participants were asked to maintain a comfortable level of force for the duration of their contact with the tool as the robot moved along its path to perform the ADL task. For the static and dynamic trials, higher forces were observed during hair brushing compared to the other two tasks. It was observed that the hair brushing task force at a specific contact point has an overall maximum of 55.66 N, while the maximum forces detected in the face wiping and face shaving tasks were 36.40 and 11.11 N, respectively. The forces collected were analyzed, and no trends were found relating the contact forces to the gender, height, or weight of the subjects. Based on the analysis of the results, recommendations have been made to enhance the force safety limits for the personal care robot working environment. [ABSTRACT FROM AUTHOR]

Objectives. This study aimed to evaluate the efficacy of patient transfer assistive devices in reducing the risk of work-related musculoskeletal disorders (WMSDs) among nurses. Methods. PubMed, Scopus, Google Scholar and the Cochrane Database of Systematic Reviews were searched to identify studies with a quantitative assessment of the efficacy of patient transfer assistive devices on the incidence and injury claims of WMSDs as compared to the manual lifting of patients. A health impact analysis of the pre–post intervention of assistive device implementation was performed. The percentage of the reduction of forces, incidence of WMSDs, number of missed workdays and injury compensation claims were calculated, pooled and presented as boxplots. Results. A total of 25 studies met the inclusion criteria. The best post-intervention outcomes of assistive devices deployment in the healthcare setting included a reduction in WMSD incidence by 59.8%, missed workdays by 90.0% and workers' compensation claims by 95.0%. Additionally, hand force declined by 71% (p < 0.05) and 70% (p < 0.05) with the use of air-assisted devices and ceiling lifts respectively. Conclusions. Overall, the evidence suggests that patient transfer assistive devices, notably ceiling lifts and air-assisted devices, are effective in reducing the risk of WMSDs among nurses. [ABSTRACT FROM AUTHOR]

Wearable robots are becoming a valuable solution that helps injured, and elderly people regain mobility and improve clinical outcomes by speeding up the rehabilitation process. The XoSoft exosuit identified several benefits, including improvement of assistance, usability, and acceptance with a soft, modular, bio-mimetic, and quasi-passive exoskeleton. This study compares two assistive configurations: (i) a bilateral hip flexion (HA, hips-assistance) and (ii) a bilateral hip flexion combined with ankle plantarflexion (HAA, hips-ankles-assistance) with the main goal of evaluating compensatory actions and synergetic effects generated by the human-exoskeleton interaction. A complete description of this complex interaction scenario with this actuated exosuit is evaluated during a treadmill walking task, using several indices to quantify the human-robot interaction in terms of muscular activation and fatigue, metabolic expenditure, and kinematic motion patterns. Evidence shows that the HAA biomimetic controller is synergetic with the musculature and performs better concerning the other control strategy. The experimentation demonstrated a metabolic expenditure reduction of 8% of Metabolic Equivalent of Task (MET), effective assistance of the muscular activation of 12.5%, a decrease of the muscular fatigue of 0.6% of the mean frequency, and a significant reduction of the compensatory actions, as discussed in this work. Compensatory effects are present in both assistive configurations, but the HAA modality provides a 47% reduction of compensatory effects when considering muscle activation. [ABSTRACT FROM AUTHOR]

In this paper we presented the mechanical design and evaluation of a low-profile and lightweight exoskeleton that supports the finger extension of stroke patients during daily activities without applying axial forces to the finger. The exoskeleton consists of a flexible structure that is secured to the index finger of the user while the thumb is fixed in an opposed position. Pulling on a cable will extend the flexed index finger joint such that objects can be grasped. The device can achieve a grasp size of at least 7 cm. Technical tests confirmed that the exoskeleton was able to counteract the passive flexion moments corresponding to the index finger of a severely affected stroke patient (with an MCP joint stiffness of k = 0.63Nm/rad), requiring a maximum cable activation force of 58.8N. A feasibility study with stroke patients (n=4) revealed that the body-powered operation of the exoskeleton with the contralateral hand caused a mean increase of 46° in the range of motion of the index finger MCP joint. The patients (n=2) who performed the Box & Block Test were able to grasp and transfer maximally 6 blocks in 60 sec. with exoskeleton, compared to 0 blocks without exoskeleton. Our results showed that the developed exoskeleton has the potential to partially restore hand function of stroke patients with impaired finger extension capabilities. An actuation strategy that does not involve the contralateral hand should be implemented during further development to make the exoskeleton suitable for bimanual daily activities.

• Assistive devices for load carriage on the back are systematically reviewed. • Assisting strategies of included studies are categorized into 4 types. • The evaluation metrics and performance of devices are summarized and compared. • Limitations in current studies are discussed to illuminate future directions. Manually carrying loads for a long distance and duration is highly physically demanding for humans but commonly required in outdoor activities. With the rapid growth and advancement of wearable robotics, many explorations have been conducted to design and evaluate robotic systems, aiming to enhance human capacity and/or endurance in load carriage tasks. In this paper, state-of-the-art robotic load carriage assistive devices are systematically reviewed regarding the mechanisms and their performances in experimental evaluation. Methods and strategies of assisting load carriage are analyzed and the existing devices are categorized into four classes: (1) reducing inertial force of the load, (2) transferring load weight to the ground, (3) assisting human joints, and (4) integration of transferring load weight and assisting human joints. The efficacy of different mechanism designs and assisting strategies are discussed from both engineering and biomechanical perspectives. Based on these analyses, challenges in the current studies and further efforts required in developing better assistive devices are discussed to provide insights for future studies. [ABSTRACT FROM AUTHOR]

Purpose: To better understand the global role of occupational therapists and explore facilitators and barriers impacting user access to high quality, affordable wheeled and seated mobility device (WSMD) provision worldwide. Methods: Mixed-method approach utilizing quantitative findings and qualitative strengths, weaknesses, opportunities, and threats (SWOT) analysis of a global online survey. Results: A total of 696 occupational therapists from 61 countries completed the survey. Almost 49% had 10 or more years of experience with the provision of WSMDs. WSMD provision had positive, significant associations with attainment of certification (0.000), higher service funding (0.000), higher country income (0.001), standardized training (0.003), continuous professional development (0.004), higher experience (0.004), higher user satisfaction (0.032), custom-made device provision (0.038), higher staff capacity (0.040), and more time working with users (0.050); negative, significant associations were identified with high cost of WSMDs (0.006) and pre-made device provision (0.019). SWOT analysis identified high country income, funding, experience, training, certification from global partners, variety of roles and practice settings, and interdisciplinary teamwork as strengths and opportunities for professional growth, while low country income, lack of time/staff capacity/standardization/support services, and poor access to proper devices were indicated as weaknesses and threats. Conclusion: Occupational therapists are skilled healthcare professionals and provide a variety of WSMD services. Efforts to build collaborative partnerships, enhance access to occupational therapists and funding options, improve service and standards for WMSD service delivery, and promote professional development will help to overcome challenges and facilitate WSMD provision globally. Promoting practices based on best available evidence for WSMD provision worldwide should be prioritized. [ABSTRACT FROM AUTHOR]

Assistive technology has opened many doors of education for special needs students. Assistive technology can be an equalizer for individuals with special needs to be able to participate in the school and community environment. This study aimed to research and develop assistive technology that can facilitate special needs children to be able to do physical activities like physical fitness exercises. The final product of this study is a smart cube equipped with a timer and a special fitness training program that is integrated into the smartphone. The research method used in this study was research and development adopted from Borg and Gall, divided into three stages. The design stage, the development stage, and the implementation stage. The research subjects consisted of experts in adaptive physical education, physical activity instructors for students with disabilities, and students with disabilities. Data was collected using the test method (physical fitness movement literacy) and non-test methods (survey, test, observation, interview and documentation). The results of the small group and large group try out stated that the product can be implemented well, and by looking at the results of the research, it can be concluded that the product is suitable to use by children with special needs, especially children with mild mental disabilities. [ABSTRACT FROM AUTHOR]

Software packages that use optimization to predict the motion of dynamic systems are powerful tools for studying human movement. These "predictive simulations" are gaining popularity in parameter optimization studies for designing assistive devices such as exoskeletons. The cost function is a critical component of the optimization problem and can dramatically affect the solution. Many cost functions have been proposed that are biologically inspired and that produce reasonable solutions, but which may lead to different conclusions in some contexts. We used OpenSim Moco to generate predictive simulations of human walking using several cost functions, each of which produced a reasonable trajectory of the human model. We then augmented the model with motors that generated hip flexion, knee flexion, or ankle plantarflexion torques, and repeated the predictive simulations to determine the optimal motor torques. The model was assumed to be planar and bilaterally symmetric to reduce computation time. Peak torques varied from 41.3 to 79.0 N · m for the hip flexion motors, from 48.0 to 94.2 N · m for the knee flexion motors, and from 42.6 to 79.8 N · m for the ankle plantarflexion motors, which could have important design consequences. This study highlights the importance of evaluating the robustness of results from predictive simulations. [ABSTRACT FROM AUTHOR]

This paper presents a system that utilizes vision transformers and multimodal feedback modules to facilitate navigation and collision avoidance for the visually impaired. By implementing vision transformers, the system achieves accurate object detection, enabling the real-time identification of objects in front of the user. Semantic segmentation and the algorithms developed in this work provide a means to generate a trajectory vector of all identified objects from the vision transformer and to detect objects that are likely to intersect with the user’s walking path. Audio and vibrotactile feedback modules are integrated to convey collision warning through multimodal feedback. The dataset used to create the model was captured from both indoor and outdoor settings under different weather conditions at different times across multiple days, resulting in 27,867 photos consisting of 24 different classes. Classification results showed good performance (95% accuracy), supporting the efficacy and reliability of the proposed model. The design and control methods of the multimodal feedback modules for collision warning are also presented, while the experimental validation concerning their usability and efficiency stands as an upcoming endeavor. The demonstrated performance of the vision transformer and the presented algorithms in conjunction with the multimodal feedback modules show promising prospects of its feasibility and applicability for the navigation assistance of individuals with vision impairment.

Sit-to-stand is a common activity in daily life. It is difficult for the elderly and patients with lower limb disorders to complete this motion due to limb pain, muscle weakness, partial loss of motor control function, and physical defects in joints. An STS assistive device is a piece of automated medical equipment that can facilitate rehabilitation training for patients with lower limb disorders and improve their lower limb function. In this paper, we introduce a 3-DOF series type STS assistive device. First, we selected 26 healthy adults to carry out an STS transfer experiment, and we obtained the trajectory and velocity of each joint and the law of plantar pressure during STS motion. Second, based on the above kinematics and dynamics law, a 3-DOF series mechanism was designed. Through forward and inverse kinematics analysis, the relationship between the end-effector and the linear actuator was established. The trajectory planning of the end-effector was carried out according to the natural STS transfer trajectory, and the law of the linear actuator was obtained. The trajectory planning was verified by ADAMS. Finally, the Arduino controller was used to build the control system of the STS assistive device, and the prototype experiment was carried out.

The side effects and complications of traditional treatments for treating pathological tremor have led to a growing research interest in wearable tremor suppression devices (WTSDs) as an alternative approach. Similar to how the human brain coordinates the function of the human system, a tremor estimator determines how a WTSD functions. Although many tremor estimation algorithms have been developed and validated, whether they can be implemented on a cost-effective embedded system has not been studied; furthermore, their effectiveness on tremor signals with multiple harmonics has not been investigated. Therefore, in this study, four tremor estimators were implemented, evaluated, and compared: Weighted-frequency Fourier Linear Combiner (WFLC), WFLC-based Kalman Filter (WFLC-KF), Band-limited Multiple FLC, and enhanced High-order WFLC-KF (eHWFLC-KF). This study aimed to evaluate the performance of each algorithm on a bench-top tremor suppression system with 18 recorded tremor motion datasets; and compare the performance of each estimator. The experimental evaluation showed that the eHWFLC-KF-based WTSD achieved the best performance when suppressing tremor with an average of 89.3% reduction in tremor power, and an average error when tracking voluntary motion of 6.6°/s. Statistical analysis indicated that the eHWFLC-KF-based WTSD is able to reduce the power of tremor better than the WFLC and WFLC-KF, and the BMFLC-based WTSD is better than the WFLC. The performance when tracking voluntary motion is similar among all systems. This study has proven the feasibility of implementing various tremor estimators in a cost-effective embedded system, and provided a real-time performance assessment of four tremor estimators. [ABSTRACT FROM AUTHOR]

In developing countries, stray animals can be frequently encountered on the roads, pathways, campuses, and other places. Due to this, the visually impaired (VI) are at more risk than the sighted ones. To gain more security and safety, they need a solution to deal with their problem. This experimentation aims to develop a hardware–software integrated solution that can detect stray animals. Along with the detection, the solution should also provide the distance of those objects from the user and alert them if it is getting closer. To put this experiment together, Jetson NANO and ZED mini camera have been chosen for processing and image capturing to make the solution mobile and accurate as they are leading hardware devices. A novel approach involving quantization and anchor-optimization has been proposed using Single-Shot Detector (SSD) Resnet 50 FPN as the base model. The model has been compressed by quantization to reduce the inference time, and anchor optimization has been done to compensate for the accuracy loss faced during quantization. We have performed experimentation by training the original model, anchor-optimized model, and quantization plus anchor-optimized model using batch sizes 64 and 8. This experimentation has been done to understand the effect of anchor-optimization and quantization on the base model and the effect of the batch size used for training on different model versions. The performance of all the models with applied quantization and anchor-optimization for both batch sizes 64 and 8 has been noted in mAP. The mAP of the quantized plus anchor-optimized model trained using batch size 64 was the highest, i.e. 93.5%. It can also be concluded that we can achieve the light-weight model with the best performance by balancing quantization and anchor-optimization to make it suitable for an edge device using batch size 64. [ABSTRACT FROM AUTHOR]

Background: Although robotic manipulators have great potential in promoting motor independence of people with motor impairments, only few systems are currently commercially available. In addition to technical, economic, and normative barriers, a key challenge for their distribution is the current lack of evidence regarding their usefulness, acceptance, and user-specific requirements. Objective: Against this background, a semiautonomous robot system was developed in the research and development project, robot-assisted services for individual and resource-oriented intensive and palliative care of people with amyotrophic lateral sclerosis (ROBINA), to support people with amyotrophic lateral sclerosis (ALS) in various everyday activities. Methods: The developed early-stage demonstrator was evaluated in a task-based laboratory study of 11 patients with ALS. On the basis of a multimethod design consisting of standardized questionnaires, open-ended questions, and observation protocols, participants were asked about its relevance to everyday life, usability, and design requirements. Results: Most participants considered the system to provide relevant support within the test scenarios and for their everyday life. On the basis of the System Usability Scale, the overall usability of the robot-assisted services for individual and resource-oriented intensive and palliative care of people with ALS system was rated as excellent, with a median of 90 (IQR 75-95) points. Moreover, 3 central areas of requirements for the development of semiautonomous robotic manipulators were identified and discussed: requirements for semiautonomous human-robot collaboration, requirements for user interfaces, and requirements for the adaptation of robotic capabilities regarding everyday life. Conclusions: Robotic manipulators can contribute to increase the autonomy of people with ALS. A key issue for future studies is how the existing ability level and the required robotic capabilities can be balanced to ensure both high user satisfaction and effective and efficient task performance. [ABSTRACT FROM AUTHOR]

Background: Older adults with chronic illnesses or dependency on care who strive to age in place need support and care depending on their illness. Digital technology has enabled the possibility of supporting older adults in their wishes to age in place. However, current studies have mainly focused on the solitary evaluation of individual technologies or on evaluating technologies for specific illnesses. Objective: This study aimed to synthesize research on the experiences of older people from the Western culture with chronic illnesses or care needs and their families with digital technology for aging in place. From the meta-synthesis, a model was derived that can be useful for the development of assistive devices in old age and that can support health care providers and professionals in their work with affected individuals. Methods: A systematic review and qualitative meta-synthesis was performed using an inductive approach, as proposed by Sandelowski and Barroso. We performed a systematic literature search in 6 databases from 2000 to 2019, with an update in 2021 and, in addition, conducted a hand search in 2 databases, relevant journals, and reference lists. The results of each study were analyzed using initial and axial coding, followed by theoretical coding. A conceptual model was derived. Results: A total of 7776 articles were identified. Articles were screened independently by 2 authors based on the eligibility criteria. Finally, of the 7776 studies, 18 (0.23%) were included in the meta-synthesis. The derived conceptual model describes older adults with chronic illnesses or dependency on care and their family members in an individual process of reflection and decision-making, starting with the use of a digital device. Older adults live in times of change. They experience stable and unstable times of illness as they are part of a changing digital world. Hence, older adults and their families consider digital technology a solution to their current situation. As they become familiar with a specific digital technology, they refine their needs and demands, gain confidence in its use, and note its advantages and disadvantages. They weigh hopes, needs, demands, and experiences in a process of reflection to decide on convenience and inconvenience. Independent of their decision, they achieve peace of mind either with or without digital technology. This process can restart repeatedly during the illness trajectory of older adults. Conclusions: This study promotes a differentiated understanding of older adults' experiences with digital technology. The conceptual model can be useful for the development of assistive technology in old age. Moreover, it can guide health care professionals in their work with older adults and their families to provide individual counseling to find the appropriate digital technology for their respective situations. [ABSTRACT FROM AUTHOR]

The Assistive Technology Device Outcomes Research (ATDOR) checklist was developed as a reporting guideline for researchers to enhance the quality of research in this field. The checklist contains 13 items that cover outcome domains unique to assistive technology devices (ATDs). The ATDOR was intended to be an adjunct to existing publication guidelines for outcomes research. The aim of this investigation was to examine the ability of the ATDOR checklist to identify strengths and weaknesses in ATD outcomes research publications that may not be detected using another publication guideline designed for outcomes research. Twenty original ATD outcome studies were scored using the Template for Intervention Description and Replication (TIDieR) checklist, and the ATDOR in two evaluation rounds. In the first round, articles were scored using the TIDieR alone. In the second round, they were scored using the TIDieR and ATDOR together. The difference in percentage scores between the two evaluation rounds was examined using the Wilcoxon signed rank-sum test for paired data. There was a statistically significant difference in the percentage scores between the two evaluation rounds (Wilcoxon statistic = 10, Z = −3.547, p<.000). When used alongside the TIDieR, the ATDOR adds significant value to evaluations of reporting quality on assistive technology outcomes research. As this field continues to grow, researchers are invited to join in efforts to standardise reporting to promote healthier outcomes for ATD users. Reporting guidelines that evaluate research studies enhance their reporting quality and promote healthier outcomes for ATD users. The Assistive Technology Device Outcomes Research (ATDOR) checklist was shown to be a useful tool for achieving a minimum standard of reporting in the field of assistive technology. As the field of assistive technology continues to explore different methodologies, ongoing efforts to develop and update reporting guidelines are necessary in order to capture the future needs of this research area. [ABSTRACT FROM AUTHOR]