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Preventing lapse in performance using a drowsiness monitoring and management system
Conference paper

Preventing lapse in performance using a drowsiness monitoring and management system

Kuan-Chih Huang, Tzyy-Ping Jung, Chun-Hsiang Chuang, Li-Wei Ko and Chin-Teng Lin
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp.3336-3339
2012
PMID: 23366640

Abstract

Signal Processing Biomedical Engineering Computer Vision and Pattern Recognition Health Informatics
Research on public security, especially the safe manipulation and control of vehicles, has gained increasing attention in recent years. This study proposes a closed-loop drowsiness monitoring and management system that can estimate subjects' driving performance. The system observes electroencephalographic (EEG) dynamics and behavioral changes, delivers arousing feedback to individuals experiencing momentary cognitive lapses, and assesses the efficacy of the feedback. Results of this study showed that the arousing feedback immediately improved subject performance, which was accompanied by concurrent theta- and alpha-power suppression in the bilateral occipital areas. This study further demonstrated the feasibility of accurately assessing the efficacy of arousing feedback presented to drowsy participants by monitoring the changes in their EEG power spectra. © 2012 IEEE.

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