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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| Published in | Transactions of Tianjin University Vol. 20; no. 5; pp. 358 - 363 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| 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 | |
| Online Access | Get full text |
| ISSN | 1006-4982 1995-8196 |
| DOI | 10.1007/s12209-014-2235-5 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| 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 |
| AuthorAffiliation | Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China National Laboratory of Human Factors Engineering, China Astronaut Research and Training Centre, Beijing 100193, China |
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| Cites_doi | 10.1007/BF02525531 10.1088/1741-2560/8/2/025005 10.3390/s120201211 10.1109/TNSRE.2010.2049862 10.1145/1941487.1941506 10.1016/S0301-0511(03)00073-5 10.1159/000230807 10.1023/A:1007943113785 10.1016/S0003-6870(99)00065-4 10.1109/TRO.2004.842350 10.1088/1741-2560/8/2/025001 10.1109/TRO.2009.2020347 |
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| Copyright | Tianjin University and Springer-Verlag Berlin Heidelberg 2014 Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | electric wheelchair brain-computer interface (BCI) alpha-wave blocking success control rate |
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| Notes | 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 |
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| Snippet | A brain-computer interface （BCI） -based electric wheelchair control system was developed, which enables the users to move the wheelchair forward or backward,... A brain-computer interface (BCI)-based electric wheelchair control system was developed, which enables the users to move the wheelchair forward or backward,... |
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| SubjectTerms | 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 |
| Title | Electric Wheelchair Control System Using Brain-Computer Interface Based on Alpha-Wave Blocking |
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