IoT-Enabled Instrumented Glove for Real-Time Monitoring of Finger Pinch Strength

Authors

  • Sri Abinesh Pillal Murugesh Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh, 84600 Muar, Johor, Malaysia
  • Ili Najaa Aimi Mohd Nordin Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh, 84600 Muar, Johor, Malaysia
  • Ahmad Athif' Mohd Faudzi Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia
  • Nurulaqilla Khamis Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, 81310 Johor Bahru, Johor, Malaysia
  • Noraishikin Zulkarnain Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
  • Tariq Rehman Department of Electronic Engineering, NED University of Engineering and Technology, Karachi-75270, Pakistan

DOI:

https://doi.org/10.37934/araset.62.2.220230

Keywords:

Instrumented glove, pinch strength, force-sensitive resistor, IoT, rehabilitation, hand function assessment

Abstract

Quantifying finger strength during Activities of daily living (ADLs) and the improvements observed in individuals undergoing physical therapy due to stroke or arthritis can provide valuable insights into hand function. The developed real-time IoT-based glove for finger strength monitoring is an instrumented device that incorporates Internet of Things technology. This includes utilizing an ESP8266 Wi-Fi module to connect to the selected IoT analytics platform, Blynk, and an Arduino microcontroller as the main control unit. The glove features a 16x2 LCD display to present the user's pinch strength values for the thumb and index finger. Force-sensitive resistor (FSR) sensors were employed to assess this parameter. The measured strength values were initially displayed on the LCD and then transmitted to a Blynk server for real-time graphical representation. The effectiveness of the designed glove was evaluated through participant testing, where individuals wore the glove and performed pinching tasks. Comparisons were made between the pinch strength readings from the instrumented glove and a traditional pinch meter. The sensing results demonstrated a promising degree of accuracy, with a minimum and highest average mean percentage error of 8.23% and 14.08%, respectively. The developed IoT-based pinch strength monitoring glove have the potential to enable physiotherapists to quantitatively evaluate progress in patient pinch strength during object manipulation tasks requiring pinching. Furthermore, the success of rehabilitation programs can also be assessed using this system.

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Author Biographies

Sri Abinesh Pillal Murugesh, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh, 84600 Muar, Johor, Malaysia

sriabinesh1499@gmail.com

Ili Najaa Aimi Mohd Nordin, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh, 84600 Muar, Johor, Malaysia

ilinajaa@uthm.edu.my

Ahmad Athif' Mohd Faudzi, Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia

athif@utm.my

Nurulaqilla Khamis, Department of Control and Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, 81310 Johor Bahru, Johor, Malaysia

nurulaqilla@utm.my

Noraishikin Zulkarnain, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

shikinzulkarnain@ukm.edu.my

Tariq Rehman, Department of Electronic Engineering, NED University of Engineering and Technology, Karachi-75270, Pakistan


tariqrehman@neduet.edu.pk

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Published

2024-12-17

How to Cite

Murugesh, S. A. P., Mohd Nordin, I. N. A., Mohd Faudzi, A. A., Khamis, N., Zulkarnain, N., & Rehman, T. (2024). IoT-Enabled Instrumented Glove for Real-Time Monitoring of Finger Pinch Strength. Journal of Advanced Research in Applied Sciences and Engineering Technology, 62(2), 220–230. https://doi.org/10.37934/araset.62.2.220230

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