An Improved Drowsiness Detection Scheme

被引：0
|
作者：
Wu, Chung Kit [1 ]
Tsang, Kim Fung [1 ]
Chi, Hao Ran [1 ]
Hung, Faan Hei [1 ]
机构：
[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
PROCEEDINGS 2016 IEEE 25TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2016年
关键词：
Kernel; Electrocardiogram; Drowsiness detection; DRIVER DROWSINESS; SENSORS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Worldwide, more than 50 million people are injured in each year because of traffic accidents and their expenditure costs 1% to 3% of the world's GDP. Drowsy driver is one of the leading causes of the traffic accidents. To reduce the accidents, drowsy driver detection (DDD) using penalized cross-correlation kernel (KPC) has been developed. The cross-correlation is to measure the similarity of ECG signals and this phenomenon is reflected in the resultant cross-correlation coefficients. The proposed work with KPC is regarded as a more accurate algorithm for driver drowsiness detection.
引用
收藏
页码：1082 / 1085
页数：4
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