Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
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Article Number | 01061 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/matecconf/202439201061 | |
Published online | 18 March 2024 |
Smart Glove or Sign Language and AI-Driven Wheelchair Navigation
1 Department of Electronics and Communication Engineering, KG Reddy College of Engineering and Technology, Hyderabad, Telangana, India - 501504
2 Department of CSE, GRIET, Hyderabad, Telangana, India
3 Lovely Professional University, Phagwara, Punjab, India.
* Corresponding author: kalpana.akkineni@kgr.ac.in
Gesture gloves are a promising solution for individuals who struggle with both mobility and communication. These gloves' sensor technology helps with nonverbal communication as well as mobility, which is especially beneficial for people who have trouble pushing manual wheelchairs[2]. The goal of gesture gloves, a notable development in assistive technology, is to empower people with disabilities by improving mobility and enabling effective communication through natural hand and finger movements[1]. The use of AI-controlled wheelchairs and smart gloves together raises the bar for assistive technology even higher. The smart glove uses flex sensors to read finger movements and translate them into messages for people who can't effectively use sign language. The AIcontrolled wheelchair simultaneously reacts to recognized gestures, removing the need for assistance from a person and providing an unprecedented degree of independence. For people with disabilities, this gesture-based communication and wheelchair control system offers a comprehensive and game-changing solution that seamlessly integrates into their everyday lives.
© The Authors, published by EDP Sciences, 2024
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