Electric Wheelchair Control System Using Brain-Computer Interface Based on Alpha-Wave Blocking

A brain-computer interface （BCI） -based electric wheelchair control system was developed, which enables the users to move the wheelchair forward or backward, and turn left or right without any pre-learning. This control system makes use of the amplitude enhancement of alpha-wave blocking in electroe...

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Bibliographic Details
Published inTransactions of Tianjin University Vol. 20; no. 5; pp. 358 - 363
Main Author 明东 付兰 陈龙 汤佳贝 綦宏志 赵欣 周鹏 张力新 焦学军 王春慧 万柏坤
Format Journal Article
LanguageEnglish
Published Heidelberg Tianjin University 01.10.2014
Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
Subjects
Engineering
Humanities and Social Sciences
Mechanical Engineering
multidisciplinary
Science
信号处理单元
信息传输率
对照实验
控制系统
电动轮椅
脑机接口
阻塞
阿尔法
electric wheelchair
brain-computer interface (BCI)
alpha-wave blocking
success control rate
Online AccessGet full text
ISSN1006-4982
1995-8196
DOI10.1007/s12209-014-2235-5

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Summary:A brain-computer interface （BCI） -based electric wheelchair control system was developed, which enables the users to move the wheelchair forward or backward, and turn left or right without any pre-learning. This control system makes use of the amplitude enhancement of alpha-wave blocking in electroencephalogram （EEG） when eyes close for more than 1 s to constitute a BCI for the switch control of wheelchair movements. The system was formed by BCI control panel, data acquisition, signal processing unit and interface control circuit. Eight volunteers participated in the wheelchair control experiments according to the preset routes. The experimental results show that the mean success control rate of all the subjects was 81.3%, with the highest reaching 93.7%. When one subject＇s triggering time was 2.8 s, i.e., the flashing time of each cycle light was 2.8 s, the average information transfer rate was 8.10 bit/min, with the highest reaching 12.54 bit/min.
Bibliography:Ming Dong, Fu Lan, Chen Long, Tang Jiabei, Qi Hongzhi, Zhao Xin, Zhou Peng, Zhang Lixin , Jiao Xuejun , Wang Chunhui , Wan Baikun （1. Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; 2. National Laboratory of Human Factors Engineering, China Astronaut Research and Training Centre, Beijing 100193, China）
12-1248/T
A brain-computer interface （BCI） -based electric wheelchair control system was developed, which enables the users to move the wheelchair forward or backward, and turn left or right without any pre-learning. This control system makes use of the amplitude enhancement of alpha-wave blocking in electroencephalogram （EEG） when eyes close for more than 1 s to constitute a BCI for the switch control of wheelchair movements. The system was formed by BCI control panel, data acquisition, signal processing unit and interface control circuit. Eight volunteers participated in the wheelchair control experiments according to the preset routes. The experimental results show that the mean success control rate of all the subjects was 81.3%, with the highest reaching 93.7%. When one subject＇s triggering time was 2.8 s, i.e., the flashing time of each cycle light was 2.8 s, the average information transfer rate was 8.10 bit/min, with the highest reaching 12.54 bit/min.
electric wheelchair; alpha-wave blocking; brain-computer interface （BCI） ; success control rate
ISSN:1006-4982
1995-8196
DOI:10.1007/s12209-014-2235-5