Real-time gesture recognition using eigenvectors
| Title: | Real-time gesture recognition using eigenvectors |
| Author: | Segers, Vaughn; Connan, James |
| Inquiries: | jconnan@uwc.ac.za |
| Abstract: | This paper discusses an implementation for gesture recognition using eigenvectors under controlled conditions. This application of eigenvector recognition is trained on a set of defined hand images. Training images are processed using eigen techniques from the OpenCV image processing library. Test images are then compared in real-time. These techniques are outlined below. |
| Subject: | Hand shape Gesture recognition Eigenvectors Sign language |
| Citation: | Segers, V. & Connan, J. (2009) Real-time gesture recognition using eigenvectors. Proc. Southern Africa Telecommunication Networks and Applications Conference (SATNAC 2009), Royal Swazi Spa, Ezulwini, Swaziland, 363-366 |
| Rights: | This file may be freely used for educational purposes, as long as it is not altered in any way. Acknowledgement of the authors and the source is required |
| Type: | Conference Paper |
| URI: | http://hdl.handle.net/10566/63 |
| Date: | 2009 |
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