標題: Gaming Controlling via Brain-Computer Interface Using Multiple Physiological Signals
作者: Chen, Shi-An
Chen, Chih-Hao
Lin, Theng-Wei
Ko, Li-Wei
Lin, Chin-Teng
生物科技學系
資訊工程學系
腦科學研究中心
Department of Biological Science and Technology
Department of Computer Science
Brain Research Center
關鍵字: Electrooculography;Eye movement detection;Electroencephalographic;Signal processing methods;Wireless;Algorithm;Baseball
公開日期: 2014
摘要: using physiological signals to control braincomputer interface (BCI) becomes more popular. Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control BCI systems based on eye movement detection and signal processing methods. Also, the use of electroencephalographic (EEG) signals has become the most common approach for a BCI because of their usability and strong reliability. In this paper, we described a signal processing method, which uses a wireless EEG-based BCI system designed to be worn near forehead that can detect both EEG and EOG signals, for detecting eye movements to have 9 direction controls (via EOG) and one action of execution (via EEG). This system included a wireless EEG signal acquisition device, a mechanism that can be worn stably, and an application program (APP) with signal processing algorithms. This algorithm and its classification procedure provided an effective method for identifying eye movements and attention. Finally, we designed a baseball game to test the BCI system. The results demonstrated that player can control the game well with high accuracy.
URI: http://hdl.handle.net/11536/135034
ISBN: 978-1-4799-3840-7
ISSN: 1062-922X
期刊: 2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC)
起始頁: 3156
結束頁: 3159
Appears in Collections:Conferences Paper