TY  - JOUR
TI  - Real-Time Hand Motion Recognition: A Robust Low-Cost Approach
AB  - This study presents a robust, low-cost hand motion recognition approach designed to run on low-end computer systems. Our method detects and tracks hand region using realtime images obtained from a low-resolution camera (i.e. webcam) and is not depended on any training or calibration and is not required any special camera apparatus or selectors. The proposed system involves several image processing techniques such as background subtraction, face detection, skin colour detection and template matching. The experimental results show promising performance under various conditions. The method has a wide range of applications where more natural ways of interaction required, such as virtual reality applications, assistive technologies and simulation.
AU  - Bas, Anil
AU  - Kocer, Hasan Erdinc
DO  - 10.17694/bajece.845276
PY  - 2021
JO  - Balkan Journal of Electrical and Computer Engineering
VL  - 9
IS  - 3
SN  - 2147-284X
SP  - 229
EP  - 234
DB  - TRDizin
UR  - http://search/yayin/detay/471840
ER  -