Movement Of Wheelchair Using EEG Signal

Authors

  • Lakshmi Prabha.P Author
  • Abishek S Author
  • Savithra S Author
  • Steepan C Author

DOI:

https://doi.org/10.53555/AJBR.v27i4S.3573

Keywords:

wheelchair, Electroencephalography, Brain-computer interface, EMOTIVE Device

Abstract

One of the primary roles of the responsible members of society is to ensure that the elderly and disabled receive the proper care at the appropriate time and that their quality of life is improved. The elderly and disabled frequently use wheelchairs as a form of transportation, albeit they can be challenging to use. It is essential to design wheelchairs that are easy to use and innovative. In this line, a thought-controlled wheelchair has been proposed, which analyzes collected signals from the eyes and brain to control the wheelchair. Using an electrode cap applied to the user's scalp, the Electroencephalography (EEG) signals acquisition is performed using E-motive device and the signal are processed and given to wheelchair for movement.  These EEG signals are then converted into movement orders by an Arduino microcontroller, which moves the wheelchair. For the aged and disabled this wheelchair offers excellent support.

Author Biographies

  • Lakshmi Prabha.P

    Assistant Professor, SRM Institute of Science and Technology, Kattankulathur- 603203

  • Abishek S

    B. Tech Students, SRM Institute of Science and Technology, Kattankulathur- 603203

  • Savithra S

    B. Tech Students, SRM Institute of Science and Technology, Kattankulathur- 603203

  • Steepan C

     

    B. Tech Students, SRM Institute of Science and Technology, Kattankulathur- 603203

Downloads

Published

2024-12-19

Issue

Section

Research Article

How to Cite

Movement Of Wheelchair Using EEG Signal. (2024). African Journal of Biomedical Research, 27(4S), 8495-8500. https://doi.org/10.53555/AJBR.v27i4S.3573