An improved drowsiness detection scheme

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

1 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationIEEE International Symposium on Industrial Electronics
PublisherIEEE
Pages1082-1085
Volume2016-November
ISBN (Print)9781509008735
Publication statusPublished - Jun 2016

Publication series

NameProceedings of the IEEE International Symposium on Industrial Electronics
PublisherIEEE
ISSN (Print)2163-5137

Conference

Title25th IEEE International Symposium on Industrial Electronics, ISIE 2016
PlaceUnited States
CitySanta Clara
Period8 - 10 June 2016

Abstract

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.

Research Area(s)

  • Kernel, Electrocardiogram, Drowsiness detection, DRIVER DROWSINESS, SENSORS, CLASSIFIER, SIGNALS

Citation Format(s)

An improved drowsiness detection scheme. / Wu, Chung Kit; Tsang, Kim Fung; Chi, Hao Ran et al.
IEEE International Symposium on Industrial Electronics. Vol. 2016-November IEEE, 2016. p. 1082-1085 7745043 (Proceedings of the IEEE International Symposium on Industrial Electronics).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review