DocumentCode
3595554
Title
Blink detection using Doppler sensor
Author
Tamba, Chihiro ; Tomii, Shoichiro ; Ohtsuki, Tomoaki
Author_Institution
Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
fYear
2014
Firstpage
2119
Lastpage
2124
Abstract
There have been a lot of attention paid to health and safety, such as dry eye syndrome or falling asleep while driving. Blinks are the physiological signal that reflects the degree of concentration or drowsiness, and thus the blink detection system is expected to get blink information. In many blink detection systems it is necessary to contact the equipment or use with a camera and the feeling of oppression and resistance will arise. In this paper, we propose the contactless blink detection system with Doppler sensor. With the setting of the threshold for each person and the classification of a blink and non-blink, the proposed system can detect and count blinks. It is shown that the system achieves the recall rate of 92 % as for the detection accuracy by experiment.
Keywords
image sensors; object detection; Doppler sensor; blink detection; blink detection system; contactless blink detection system; dry eye syndrome; physiological signal; visual display terminal work; Accuracy; Cameras; Doppler effect; Fatigue; Feature extraction; Noise reduction; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014 IEEE 25th Annual International Symposium on
Type
conf
DOI
10.1109/PIMRC.2014.7136522
Filename
7136522
Link To Document