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Control of electric wheelchair by eye activities using eeg technique

Hai Thanh Nguyen 1, *
Toi Van Vo 1
Trung Van Nguyen 2
  1. International University, VNU-HCM
  2. University of Technical Education HoChiMinh city
Correspondence to: Hai Thanh Nguyen, International University, VNU-HCM. Email: pvphuc@vnuhcm.edu.vn.
Volume & Issue: Vol. 16 No. 3 (2013) | Page No.: 18-28 | DOI: 10.32508/stdj.v16i4.1608
Published: 2013-09-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

This paper presents a study control of an electric wheelchair based on ElectroEncephaloGraphy (EEG). The directions of wheelchair are controlled by eye activities. A mean threshold algorithm is proposed to detect eye activities using EEG technique. The activities of eyes such as blinking two eyes, glanced left and glanced right related to the delta area of human brain are investigated. Before analyzing the EEG data, original data are filtered to reduce noise or artifacts by a band-pass filter. The proposed threshold method is applied to distinguish the phenomenon of eye activities. This study is useful for creating a BCI system such as wheelchair control. Experimental results show that the proposed threshold approach is the effectiveness.

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