Title: Hand-gesture recognition using computer-vision techniques
Authors: Rios-Soria, David J.
Schaeffer, Satu E.
Garza-Villarreal, Sara E.
Citation: WSCG 2013: Communication Papers Proceedings: 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 1-8.
Issue Date: 2013
Publisher: Václav Skala - UNION Agency
Document type: conferenceObject
konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Communications-proceedings.pdf
http://hdl.handle.net/11025/10641
ISBN: 978-80-86943-75-6
Keywords: rozpoznávání gest;interakce člověk-počítač;počítačové vidění
Keywords in different language: gesture recognition;computer-human interaction;computer vision
Abstract: We use our hands constantly to interact with things: pick them up, move them, transform their shape, or activate them in some way. In the same unconscious way, we gesticulate in communicating fundamental ideas: ‘stop’, ‘come closer’, ‘over there’, ‘no’, ‘agreed’, and so on. Gestures are thus a natural and intuitive form of both interaction and communication. Gestures and gesture recognition are terms increasingly encountered in discussions of human-computer interaction. We present a tool created for human-computer interaction based on hand gestures. The underlying algorithm utilizes only computer-vision techniques. The tool is able to recognize in real time six different hand gestures, captured using a webcam. Experiments conducted to evaluate the system performance are reported.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2013: Communication Papers Proceedings

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