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24. Introduction

Author

Karmakar, Nemai Chandra, Yang, Yang, Rahim, Abdur, Karmakar, Nemai Chandra, Yang, Yang, and Rahim, Abdur

Published
2018
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25. Use of Chipless Radio Frequency Identification Technology for Smart Food Packaging: An Economic Analysis for an Australian Seafood Industry.

Author

Fathi, Parya, Bhattacharya, Mita, Bhattacharya, Sankar, and Karmakar, Nemai

Subjects
RADIO frequency identification systems, FOOD industry, FOOD packaging, NET present value, SEAFOOD industry
Abstract

Effective monitoring of perishable food products has become increasingly important for ensuring quality, enabling smart packaging to be a key consideration for food companies. Among the promising technologies available for transforming packaging into intelligent packaging, chipless radio frequency identification (RFID) sensors stand out. Despite the high initial implementation costs associated with chipless RFID technology, the potential benefits could outweigh the costs if electrical challenges can be overcome. We examine various economic methods to analyze the economic benefits of chipless RFID technology, evaluating the benefits of using this technology for the quality monitoring of seafood products of an Australian seafood producer, Tassal. The analysis considers three primary business drivers, viz. quality monitoring, operational efficiency, and tracking and tracing, using net present value and return on investment as the key indicators to assess the feasibility of implementing the technology. Based on sensitivity analysis, we suggest chipless RFID technology is currently best suited for large firms facing significant quality monitoring and operational efficiency challenges. However, as the cost of chipless RFID sensors decreases with further development, this technology may become a more viable option for small businesses in the future. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Introduction

Author

Preradovic, Stevan, Karmakar, Nemai Chandra, Preradovic, Stevan, and Karmakar, Nemai Chandra

Published
2012
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40. A Wearable Accelerometer-Based System for Knee Angle Monitoring During Physiotherapy

Author

Nissa, Rufyid-u, Karmakar, Nemai C., and Baghini, Maryam Shojaei

Abstract

Wearable inertial sensors can revolutionize the field of physiotherapy by enabling continuous remote assessment, early detection of mobility issues, and monitoring of recovery from injury or surgery. This can be achieved by integrating these sensors with onboard processors and a communication technology. In this work, we propose a wearable system that uses accelerometer data to obtain a clinical knee angle. The system comprises sensors on the thigh and shank along with embedded firmware. A simple accelerometer-inclination method was used to compute the thigh and shank angles, and the knee angle was calculated from these leg segment angles. The experimental results demonstrate that the proposed approach is sufficient for measuring the knee angle, obviating the need for additional sensors. This reduction in computational complexity was achieved without compromising the accuracy of knee angle computation. Measurements were performed in clinically relevant positions (supine, sitting, standing, and during level walking) to validate the system, and the results were compared with a video-based reference system. The measurements were closely aligned with the reference system, as indicated by the average root mean square error (RMSE) of 1.71° for the exercises and 2.51° for the leveled walk. This is an acceptable accuracy because the minimal clinically important difference (MCID) for the knee angle is 6°. However, it was demonstrated that sensor placement can affect the accuracy. This portable, cost-effective, noninvasive, and embedded system, capable of continuous assessment in free-living environments, would be advantageous for acquiring quantitative patient data.

Published
2024
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