標題: EEG-Based Motion Sickness Estimation Using Principal Component Regression
作者: Ko, Li-Wei
Wei, Chun-Shu
Chen, Shi-An
Lin, Chin-Teng
腦科學研究中心
Brain Research Center
關鍵字: EEG;neural networks;fuzzy systems;driving cognition;machine learning
公開日期: 2011
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.
URI: http://hdl.handle.net/11536/17050
ISBN: 978-3-642-24954-9
ISSN: 0302-9743
期刊: NEURAL INFORMATION PROCESSING, PT I
Volume: 7062
起始頁: 717
結束頁: 724
Appears in Collections:Conferences Paper