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: | konferenční příspěvek conferenceObject |
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 |
Files in This Item:
File | Description | Size | Format | |
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Rios-Soria.pdf | Plný text | 727,43 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/10641
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