Open Access

Downloads

Download data is not yet available.

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.



Author's Affiliation
Article Details

Issue: Vol 16 No 3 (2013)
Page No.: 18-28
Published: Sep 30, 2013
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v16i4.1608

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Nguyen, H., Vo, T., & Nguyen, T. (2013). Control of electric wheelchair by eye activities using eeg technique. Science and Technology Development Journal, 16(3), 18-28. https://doi.org/https://doi.org/10.32508/stdj.v16i4.1608

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1834 times
Download PDF   = 1126 times
Total   = 1126 times