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. © 2012 Springer-Verlag.
CITATION STYLE
Castillo, G., Avendaño, S., & Goussies, N. A. (2012). An human-computer interface using facial gestures for the game of Truco. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7441 LNCS, pp. 276–283). https://doi.org/10.1007/978-3-642-33275-3_34
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