Efficient detection of eye blinking and yawn based on facial video utilizing IPPG technique
Bing Wei, Xue Lu, Chao Zhang, Xiaopei Wu
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.26How to use a DOI?
- Eye blinking; Yawn; IPPG; Region of interest; Spatial averaging.
- 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.
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 -