The Mind-Controlled Wheelchair
- Conference
- Location
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Syracuse University, New York
- Publication Date
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March 25, 2022
- Start Date
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March 25, 2022
- End Date
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February 26, 2024
- Page Count
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5
- DOI
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10.18260/1-2--45422
- Permanent URL
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https://peer.asee.org/45422
- Download Count
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210
Paper Authors
Garrett Stoyell Clarkson University
My name is Garrett Stoyell and I'm a senior Computer Engineering student attending Clarkson University. The paper which I'll be submitting to the conference pertains to my capstone project wherein we developed a wheelchair that could be controlled by the brainwaves of its user. This could provide a mobility solution to those who have experienced some loss of motor function, as the wheelchair requires no physical input whatsoever.
Masudul Imtiaz
Dr. Masudul H Imtiaz is currently an assistant professor with the Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA, and head of the AI Vision, Health, Biometrics, and Applied Computing (AVHBAC) lab. Dr. Imtiaz received bachelor’s and master’s degrees in applied physics, electronics, and communication engineering from the University of Dhaka, Bangladesh, and a Ph.D. degree from the University of Alabama in the summer of 2019. He was also a Postdoctoral Fellow with the Department of Electrical and Computer Engineering at the University of Alabama. His research interests include the development of wearable systems, mHealth, deep learning on wearables, biomedical signal processing, and computational intelligence for preventive, diagnostic, and assistive technology, with a special focus on health monitoring and rehabilitation. Dr. Imtiaz is also developing novel biometric technologies, ensuring the high enrollment and person verification accuracy. Currently, he directs a collaborative research platform, 'The Center for Advanced PCB Design and Manufacture'.
Siddesh Sood
Thomas B Griebel Clarkson University
Anthony Seybolt Clarkson University
Anthony recently graduated Clarkson University with a Bachelor's in Electrical and Computer Engineering.
Abstract
The application of a brain-computer interface to control an electric wheelchair may enable individuals with impaired motor skills to move without the need for any physical input. The overall design and implementation of our wheelchair system with the brain-computer interface is discussed within this paper. The integration of our system utilizes a Drive wheelchair, Emotiv EPOC X headset, BLE 5.0 adapter, Raspberry Pi development board, Sabertooth 2x32 dual motor controller, LM2596 buck converter, and a 24V battery. The construction as well as drawbacks of our final system are discussed, and alternate designs as well as future improvements are explored.
Stoyell, G., & Imtiaz, M., & Sood, S., & Griebel, T. B., & Seybolt, A. (2022, March), The Mind-Controlled Wheelchair Paper presented at 2022 ASEE St. Lawrence Section Annual Conference, Syracuse University, New York. 10.18260/1-2--45422
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