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. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Rios Soria, D. J., & Schaeffer, S. E. (2012). A tool for hand-sign recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7329 LNCS, pp. 137–146). https://doi.org/10.1007/978-3-642-31149-9_14
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