EEG-based motion sickness estimation using principal component regression

Li-Wei Ko*, Chun-Shu Wei, Shi An Chen, Chin-Teng Lin

*此作品的通信作者

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

Driver's cognitive state monitoring system has been implicated as a causal factor for the safety driving issue, especially when the driver fell asleep or distracted in driving. However, the limitation in developing this system is lack of a major indicator which can be applied to a realistic application. In our past studies, we investigated the physiological changes in the transition of driver's cognitive state by using EEG power spectrum analysis and found that the features in the occipital area were highly correlated with the driver's driving performance. In this study, we construct an EEG-based self-constructed neural fuzzy system to estimate the driver's cognitive state by using the EEG features from the occipital area. Experimental results show that the proposed system had the better performance than other neural networks. Moreover, the proposed system can not only be limited to apply to individual subjects but also sufficiently works in between subjects.

原文English
主出版物標題Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
頁面717-724
頁數8
版本PART 1
DOIs
出版狀態Published - 13 11月 2011
事件18th International Conference on Neural Information Processing, ICONIP 2011 - Shanghai, China
持續時間: 13 11月 201117 11月 2011

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
7062 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference18th International Conference on Neural Information Processing, ICONIP 2011
國家/地區China
城市Shanghai
期間13/11/1117/11/11

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