Abstract
In this work we present a method to detect and recognize the signs of the card game of Truco which are a subset of facial gestures. The method uses temporal templates to represent motion and later extract features. The proposed method works in real time, allowing to use it as an human-computer interface , for example, in the context of the card game of Truco . To the best of our knowledge this is the first work that uses detection of facial gestures in the context of a game.
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Castillo, G., Avendaño, S., Goussies, N.A. (2012). An Human-Computer Interface Using Facial Gestures for the Game of Truco . In: Alvarez, L., Mejail, M., Gomez, L., Jacobo, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2012. Lecture Notes in Computer Science, vol 7441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33275-3_34
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DOI: https://doi.org/10.1007/978-3-642-33275-3_34
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