Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Estimating Driving Performance Based on EEG Spectrum Analysis | EURASIP Journal on Applied Signal Processing 2005 19 3165-3174 2005 Hindawi Publishing Corporation Estimating Driving Performance Based on EEG Spectrum Analysis Chin-Teng Lin Brain Research Center University System of Taiwan Taipei 112 Taiwan Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Email ctlin@ Ruei-Cheng Wu Brain Research Center University System of Taiwan Taipei 112 Taiwan Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Email Tzyy-Ping Jung Institute for Neural Computation University of California San Diego La Jolla CA 92093-0523 USA Email jung@ Sheng-Fu Liang Brain Research Center University System of Taiwan Taipei 112 Taiwan Department of Biological Science and Technology National Chiao-Tung University Hsinchu 300 Taiwan Email sfliang@ Teng-Yi Huang Brain Research Center University System of Taiwan Taipei 112 Taiwan Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu 300 Taiwan Email Received 12 February 2004 Revised 14 March 2005 The growing number of traffic accidents in recent years has become a serious concern to society. Accidents caused by driver s drowsiness behind the steering wheel have a high fatality rate because of the marked decline in the driver s abilities of perception recognition and vehicle control abilities while sleepy. Preventing such accidents caused by drowsiness is highly desirable but requires techniques for continuously detecting estimating and predicting the level of alertness of drivers and delivering effective feedbacks to maintain their maximum performance. This paper proposes an EEG-based drowsiness estimation system that combines electroencephalogram EEG log subband power spectrum correlation analysis principal component analysis and linear regression models to indirectly estimate driver s .
