Blink detection using Doppler sensor

Chihiro Tamba; Shoichiro Tomii; Tomoaki Ohtsuki

doi:10.1109/PIMRC.2014.7136522

Blink detection using Doppler sensor

Chihiro Tamba, Shoichiro Tomii, Tomoaki Ohtsuki

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2119-2124
Number of pages	6
Volume	2015-June
ISBN (Print)	9781479949120
DOIs	https://doi.org/10.1109/PIMRC.2014.7136522
Publication status	Published - 2015 Jun 25
Event	2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014 - Washington, United States Duration: 2014 Sept 2 → 2014 Sept 5

Other

Other	2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014
Country/Territory	United States
City	Washington
Period	14/9/2 → 14/9/5

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/PIMRC.2014.7136522

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Tamba, C, Tomii, S & Ohtsuki, T 2015, Blink detection using Doppler sensor. in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. vol. 2015-June, 7136522, Institute of Electrical and Electronics Engineers Inc., pp. 2119-2124, 2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014, Washington, United States, 14/9/2. https://doi.org/10.1109/PIMRC.2014.7136522

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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.",

author = "Chihiro Tamba and Shoichiro Tomii and Tomoaki Ohtsuki",

year = "2015",

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doi = "10.1109/PIMRC.2014.7136522",

language = "English",

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volume = "2015-June",

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booktitle = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",

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note = "2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014 ; Conference date: 02-09-2014 Through 05-09-2014",

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AU - Tamba, Chihiro

AU - Tomii, Shoichiro

AU - Ohtsuki, Tomoaki

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N2 - 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.

AB - 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.

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Y2 - 2 September 2014 through 5 September 2014

ER -

Blink detection using Doppler sensor

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