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

页码：1082 / 1085

页数：4

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