Version 1
: Received: 7 June 2024 / Approved: 10 June 2024 / Online: 11 June 2024 (15:51:20 CEST)
How to cite:
SARKER, M. A. B.; Sola-thomas, J. P.; Imtiaz, M. H. AI-Powered Camera and Sensors for the Rehabilitation Hand Exoskeleton. Preprints2024, 2024060677. https://doi.org/10.20944/preprints202406.0677.v1
SARKER, M. A. B.; Sola-thomas, J. P.; Imtiaz, M. H. AI-Powered Camera and Sensors for the Rehabilitation Hand Exoskeleton. Preprints 2024, 2024060677. https://doi.org/10.20944/preprints202406.0677.v1
SARKER, M. A. B.; Sola-thomas, J. P.; Imtiaz, M. H. AI-Powered Camera and Sensors for the Rehabilitation Hand Exoskeleton. Preprints2024, 2024060677. https://doi.org/10.20944/preprints202406.0677.v1
APA Style
SARKER, M. A. B., Sola-thomas, J. P., & Imtiaz, M. H. (2024). AI-Powered Camera and Sensors for the Rehabilitation Hand Exoskeleton. Preprints. https://doi.org/10.20944/preprints202406.0677.v1
Chicago/Turabian Style
SARKER, M. A. B., Juan Pablo Sola-thomas and Masudul H. Imtiaz. 2024 "AI-Powered Camera and Sensors for the Rehabilitation Hand Exoskeleton" Preprints. https://doi.org/10.20944/preprints202406.0677.v1
Abstract
Due to Motor Neurone Diseases, a large population remains disabled worldwide, negatively impacting their independence and quality of life. This typically involves a weakness in the hand and forearm muscles, making it difficult to perform fine motor tasks such as writing, buttoning a shirt, or gripping objects. This project presents a vision-enabled rehabilitation hand exoskeleton to assist disabled persons in their hand movements. The design goal was to create an accessible tool to help with a simple interface requiring no training. This prototype is built on a commercially available glove where a camera and embedded processor were integrated to help open and close the hand, using air pressure, thus grabbing an object. An accelerometer is also implemented to detect the characteristic hand gesture to release the object when desired. This passive vision-based control differs from active EMG-based designs as it does not require individualized training. Continuing the research will reduce the cost, weight, and power consumption to facilitate mass implementation.
Keywords
Artificial intelligence (AI), Assistive technology, Computer vision, Deep learning, Gesture detection, Google Coral, Hand exoskeleton, Motor neuron disease, Vision-enabled rehabilitation.
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
