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Human-in-the-loop Auditory Cueing Strategy for Gait Modification
- Publication Year :
- 2020
-
Abstract
- External feedback in the form of visual, auditory and tactile cues has been used to assist patients to overcome mobility challenges. However, these cues can become less effective over time. There is limited research on adapting cues to account for inter and intra-personal variations in cue responsiveness. We propose a cue-provision framework that consists of a gait performance monitoring algorithm and an adaptive cueing strategy to improve gait performance. The proposed approach learns a model of the person's response to cues using Gaussian Process regression. The model is then used within an on-line optimization algorithm to generate cues to improve gait performance. We conduct a study with healthy participants to evaluate the ability of the adaptive cueing strategy to influence human gait, and compare its effectiveness to two other cueing approaches: the standard fixed cue approach and a proportional cue approach. The results show that adaptive cueing is more effective in changing the person's gait state once the response model is learned compared to the other methods.<br />8 pages, 11 figures. It has been accepted to IEEE Robotics and Automation Letters (RA-L) 2021
- Subjects :
- FOS: Computer and information sciences
030506 rehabilitation
Control and Optimization
Computer science
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.,HCI)
Speech recognition
Biomedical Engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
03 medical and health sciences
Computer Science - Robotics
0302 clinical medicine
Gait (human)
InformationSystems_MODELSANDPRINCIPLES
Artificial Intelligence
Human-in-the-loop
Rehabilitation robotics
Sensory cue
Mechanical Engineering
Auditory cueing
Computer Science Applications
Visualization
Human-Computer Interaction
Control and Systems Engineering
Robot
Computer Vision and Pattern Recognition
0305 other medical science
Gait modification
Robotics (cs.RO)
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....83ceec130a80460477b4899e0cbd10f4