Abstract
Utilizing non-contact eye-detection- and image-processing-based fatigue recognition and early warning technology, this study established a human-computer interaction system based on dynamic expression recognition. The degree of fatigue was determined based on the percentage of eyelid closure (PERCLOS). Facial and eye areas in the key frames for facial expression identification were adopted to determine the expression of fatigue. A skin-color technique was used for face detection. A skin model was later established using the hue, saturation, value (HSV) color model, which was then used to detect the skin color of any given face. The improved circle Hough transform algorithm was applied for use in eye detection. Blink rate (pupil region extraction) and PERCLOS were combined in the detection of fatigue.
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References
Xie, X., Sudhakar, R., Zhuang, H.: On improving eye feature extractionusing deformable templates. Pattern Recognit. 27(6), 791–799 (1994)
Liu, N., Su, H., Guo, C.-H., et al.: Jiyu Hough Bianhuanyuan Jiance de Renyan Dingwei Fangfa Gaijin (Development of a Human Eye Localization Method based on Circle-Hough-Transform Detection). Comput. Eng. Des. 32(4), 1359–1362 (2011)
Li, S., Zhang, L., Liao, S., et al.: A near-infrared image based face recognition system. In: Proceedings of Seventh IEEE International Conference on Automatic Face and Gesture Recognition, pp. 455–460 (2006)
Ganesan, P., Rajini, V.: Value based semi automatic segmentation of satellite images using HSV color space, histogram equalization and modified FCM clustering algorithm. In: 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), 12–14 December 2013, pp. 77–82 (2013). doi:10.1109/ICGCE.2013.682340
Shaik, K.B., et al.: Comparative study of skin color detection and segmentation in HSV and YCbCr color space. Procedia Comput. Sci. 57, 41–48 (2015)
Bao, H.-Q.: Jiyu Neirong de Shipin Yundong Duixiang Fenge Jishu Yanjiu (Research on Content-Based Segmentation Technology of Moving Video Objects). Shanghai University (2005)
Zhang, Z., Ma, S.-L., Zhang, Z.-B., et al.: Improved image edge extraction algorithm based on canny operator. J. Jinlin Univ. (Sci. Ed.) 45(2), 224–248 (2007)
Song, Z.-H., Zhou, Y.-M.: PERCLOS-based recognition algorithms of motor driver fatigue. J. China Agric. Univ. 7(2), 104–109 (2002)
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Meng, S.H., Hu, S.B., Huang, A.C., Huang, T.J., Xie, Z., Jian, C. (2018). Research on Eye Detection and Fatigue Early Warning Technologies. In: Krömer, P., Alba, E., Pan, JS., Snášel, V. (eds) Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2017. Advances in Intelligent Systems and Computing, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-68527-4_1
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DOI: https://doi.org/10.1007/978-3-319-68527-4_1
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