Abstract
We present a software tool created for human-computer interaction based on hand gestures. The underlying algorithm utilizes computer vision techniques. The tool is able to recognize in real-time six different hand signals, captured using a web cam. Experiments conducted to evaluate the system performance are reported.
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Rios Soria, D.J., Schaeffer, S.E. (2012). A Tool for Hand-Sign Recognition. In: Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F., Olvera López, J.A., Boyer, K.L. (eds) Pattern Recognition. MCPR 2012. Lecture Notes in Computer Science, vol 7329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31149-9_14
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DOI: https://doi.org/10.1007/978-3-642-31149-9_14
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