Efficient detection of eye blinking and yawn based on facial video utilizing IPPG technique

DOI

10.2991/ifmca-16.2017.26How to use a DOI?

Keywords

Eye blinking; Yawn; IPPG; Region of interest; Spatial averaging.

Abstract

For purpose of efficient detection of eye blinking and yawn of human beings, a facial expressions detection method based upon Imaging Photoplethysmography (IPPG) technique was proposed. In the proposed method, facial videos were transformed into R/G/B signals through spatial pixels averaging on related regions of interest (ROI). Then, the signs of eye blinking and yawn were extracted from G-channel signals that contain more stable eye blinking and yawn components by adaptive energy thresholds. The experiments carried out on eight participants demonstrated that the proposed method had an impressive accuracy in detection. It might provide an efficient and succinct approach for applications of facial expression detection, such as fatigue detection, etc.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bing Wei
AU  - Xue Lu
AU  - Chao Zhang
AU  - Xiaopei Wu
PY  - 2017/03
DA  - 2017/03
TI  - Efficient detection of eye blinking and yawn based on facial video utilizing IPPG technique
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 159
EP  - 163
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.26
DO  - 10.2991/ifmca-16.2017.26
ID  - Wei2017/03
ER  -