Abstract
Automatic facial expressions recognition using vision is an important subject towards human-robot interaction. Here is proposed a human face focus of attention technique and a facial expressions classifier (a Dynamic Bayesian Network) to incorporate in an autonomous mobile agent whose hardware is composed by a robotic platform and a robotic head. The focus of attention technique is based on the symmetry presented by human faces. By using the output of this module the autonomous agent keeps always targeting the human face frontally. In order to accomplish this, the robot platform performs an arc centered at the human; thus the robotic head, when necessary, moves synchronized. In the proposed probabilistic classifier the information is propagated, from the previous instant, in a lower level of the network, to the current instant. Moreover, to recognize facial expressions are used not only positive evidences but also negative.
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Ekman, P., Friesen, W.V., Hager, J.C.: Facial Action Coding System - The Manual. A Human Face. Salt Lake City, Utah, USA (2002)
Hiremath, P.S., Danti, A.: Detection of multiple faces in an image using skin color information and lines-of-separability face model. International Journal of Pattern Recognition and Artificial Intelligence 20(1), 39–69 (2006)
Chen, X., Flynn, P.J., Bowyer, K.W.: Fully automated facial symmetry axis detection in frontal color images. In: 4th IEEE Workshop on Automatic Identification Advanced Technologies, pp. 106–111 (2005)
Nakao, N., Ohyama, W., Wakabayashi, T., Kimura, F.: Automatic detection of facial midline and its contributions to facial feature extraction. Electronic Letters on Computer Vision and Image Analysis 6(3), 55–66 (2008)
Datcu, D., Rothkrantz, L.J.M.: Automatic recognition of facial expressions using bayesian belief networks. In: 2004 IEEE International Conference on Systems, Man & Cybernetics, October 2004, pp. 10–13 (2004)
Zhang, Y., Ji, Q.: Active and dynamic information fusion for facial expression understanding from image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(5), 699–714 (2005)
Viola, P., Jones, M.: Robust real-time face detection. International Journal of Computer Vision 57(2), 137–154 (2004)
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SimplĂcio, C., Prado, J., Dias, J. (2010). A Face Attention Technique for a Robot Able to Interpret Facial Expressions. In: Camarinha-Matos, L.M., Pereira, P., Ribeiro, L. (eds) Emerging Trends in Technological Innovation. DoCEIS 2010. IFIP Advances in Information and Communication Technology, vol 314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11628-5_36
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DOI: https://doi.org/10.1007/978-3-642-11628-5_36
Publisher Name: Springer, Berlin, Heidelberg
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