Design of Wearable Brain Computer Interface Based on Motor Imagery

Author

Chuan Lung Lin ; Tso Yao Chu ; Pei Jung Wu ; Chen An Wang ; Bor Shyh Lin

Author_Institution

Inst. of Photonic Syst., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2014

fDate

27-29 Aug. 2014

Firstpage

33

Lastpage

36

Abstract

Brain computer interface (BCI) is a communication system to establish a communication interface between the brain and the device. Motor imagery-based brain computer interface is one of asynchronous BCIs, and have been widely developed in recent years. However, most of motor imagery-based BCI require bulk EEG machines, and lots of EEG data have to be transmitted to the back-end computer for analysis. This also causes the limitation of daily applications. In this study, a wearable motor-imagery-based BCI system with the least number of EEG channels was developed. In this system, the wearable mechanical design and the wireless EEG acquisition module were designed for measuring real time EEG in daily life. The modified BCI algorithm was also developed, and here only three channels are used to distinguish different events of motor imagery in this study. Finally, the proposed BCI system was also validated by the hand-motor imagery experiment.

Keywords

brain-computer interfaces; electroencephalography; medical signal processing; EEG data; EEG machines; asynchronous BCI; electroencephalography; motor imagery; wearable brain computer interface; Brain-computer interfaces; Electrodes; Electroencephalography; Sensors; Synchronous motors; Wireless communication; Wireless sensor networks; Electroencephalogram; brain computer interface; motor imagery; wearable mechanical design; wireless EEG acquisition module;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on

Conference_Location

Kitakyushu

Print_ISBN

978-1-4799-5389-9

Type

conf

DOI

10.1109/IIH-MSP.2014.16

Filename

6998261