@inproceedings{25a8c0f614c243dda7bbc1e44674c753,
title = "Development of a wireless embedded brain - Computer interface and its application on drowsiness detection and warning",
abstract = "The existing bio-signal monitoring systems are mostly designed for signal recording without the capability of automatic analysis so that their applications are limited. The goal of this paper is to develop a real-time wireless embedded electroencephalogram (EEG) monitoring system that includes multi-channel physiological acquisition, wireless transmission, and an embedded system. The wireless transmission can overcome the inconvenience of wire routing and the embedded multi-task scheduling for the dual-core processing system is developed to realize the real-time processing. The whole system has been applied to detect the driver's drowsiness for demonstration since drowsiness is considered as a serious cause of many traffic accidents. The electroencephalogram (EEG) features changes from wakefulness to drowsiness are extracted to detect the driver's drowsiness and an on-line warning feedback module is applied to avoid disasters caused by fatigue.",
keywords = "Brain-Computer Interfaces (BCIs), Electroencephalogram (EEG), Embedded systems, Real-time, Wireless",
author = "Lin, {Chin Teng} and Hsieh, {Hung Yi} and Liang, {Sheng Fu} and Chen, {Yu Chieh} and Li-Wei Ko",
year = "2007",
month = jul,
doi = "10.1007/978-3-540-73331-7_61",
language = "English",
isbn = "9783540733300",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "561--567",
booktitle = "Engineering Psychology and Cognitive Ergonomics - 7th International Conference, EPCE 2007. Held as Part of HCI International 2007, Proceedings",
note = "7th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2007 ; Conference date: 22-07-2007 Through 27-07-2007",
}
