A smart brain controlled wheelchair based on TGAM

Xinying Yu; Shaoda Xie

doi:10.1117/12.2689436

10 August 2023 A smart brain controlled wheelchair based on TGAM

Xinying Yu, Shaoda Xie

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 1274842 (2023) https://doi.org/10.1117/12.2689436
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

A brain-controlled wheelchair system based on TGAM module is proposed, which can improve people quality of life which suffering from severe movement disorders. The TGAM is used as the EEG signals acquisition and processing module. The EEG data is transmitted to the micro-controller through the Bluetooth module. The data is validated and the concentration parameter is parsed, the concentration value is converted into the speed parameter of the wheelchair, and the key state is converted into the wheelchair movement direction parameter, to control the wheelchair movement according to the user's real-time concentration. The test results show that the TGAM module can accurately collect EEG signals, and the micro-controller can analyze the concentration data, and control the wheelchair's forward, backward and turn through the motor. The intelligent wheelchair is simple, easy to operate, and stable in function. It can be operated only through the user's concentration, providing a new convenient wheelchair control mode for people with walking difficulties.

Citation Download Citation

Xinying Yu and Shaoda Xie "A smart brain controlled wheelchair based on TGAM", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 1274842 (10 August 2023); https://doi.org/10.1117/12.2689436

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available