Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

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

Authors
Bing Wei, Xue Lu, Chao Zhang, Xiaopei Wu
Corresponding Author
Bing Wei
Available Online March 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
978-94-6252-307-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifmca-16.2017.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - https://doi.org/10.2991/ifmca-16.2017.26
ID  - Wei2017/03
ER  -