A portable device for real time drowsiness detection using novel active dry electrode system

Pai Yuan Tsai, Weichih Hu, Terry B J Kuo, Liang Yu Shyu

研究成果: 書貢獻/報告類型會議貢獻

38 引文 斯高帕斯(Scopus)

摘要

Electroencephalogram (EEG) signals give important information about the vigilance states of a subject. Therefore, this study constructs a real-time EEG-based system for detecting a drowsy driver. The proposed system uses a novel six channels active dry electrode system to acquire EEG non-invasively. In addition, it uses a TMS320VC5510 DSP chip as the algorithm processor, and a MSP430F149 chip as a controller to achieve a real-time portable system. This study implements stationary wavelet transform to extract two features of EEG signal: integral of EEG and zero crossings as the input to a back propagation neural network for vigilance states classification. This system can discriminate alertness and drowsiness in real-time. The accuracy of the system is 79.1%for alertness and 90.91% for drowsiness states. When the system detects drowsiness, it will warn drivers by using a vibrator and a beeper.
原文英語
主出版物標題Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
主出版物子標題Engineering the Future of Biomedicine, EMBC 2009
頁面3775-3778
頁數4
DOIs
出版狀態已發佈 - 2009
對外發佈Yes
事件31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, 美国
持續時間: 九月 2 2009九月 6 2009

會議

會議31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
國家美国
城市Minneapolis, MN
期間9/2/099/6/09

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

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