標題: | A Real-Time Wireless Brain-Computer Interface System for Drowsiness Detection |
作者: | Lin, Chin-Teng Chang, Che-Jui Lin, Bor-Shyh Hung, Shao-Hang Chao, Chih-Feng Wang, I-Jan 影像與生醫光電研究所 資訊工程學系 電機工程學系 腦科學研究中心 Institute of Imaging and Biomedical Photonics Department of Computer Science Department of Electrical and Computer Engineering Brain Research Center |
關鍵字: | Drowsiness detection;electroencephalogram (EEG);brain-computer interface (BCI) |
公開日期: | 1-Aug-2010 |
摘要: | A real-time wireless electroencephalogram (EEG)-based brain-computer interface (BCI) system for drowsiness detection has been proposed. Drowsy driving has been implicated as a causal factor in many accidents. Therefore, real-time drowsiness monitoring can prevent traffic accidents effectively. However, current BCI systems are usually large and have to transmit an EEG signal to a back-end personal computer to process the EEG signal. In this study, a novel BCI system was developed to monitor the human cognitive state and provide biofeedback to the driver when drowsy state occurs. The proposed system consists of a wireless physiological signal-acquisition module and an embedded signal-processing module. Here, the physiological signal-acquisition module and embedded signal-processing module were designed for long-term EEG monitoring and real-time drowsiness detection, respectively. The advantages of low ower consumption and small volume of the proposed system are suitable for car applications. Moreover, a real-time drowsiness detection algorithm was also developed and implemented in this system. The experiment results demonstrated the feasibility of our proposed BCI system in a practical driving application. |
URI: | http://dx.doi.org/10.1109/TBCAS.2010.2046415 http://hdl.handle.net/11536/32357 |
ISSN: | 1932-4545 |
DOI: | 10.1109/TBCAS.2010.2046415 |
期刊: | IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS |
Volume: | 4 |
Issue: | 4 |
起始頁: | 214 |
結束頁: | 222 |
Appears in Collections: | Articles |
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