A Robust Method for Hand Gesture Recognition Using Support Vector Machine

Nadhir Ben Halima
2016 International Journal of Multimedia and Ubiquitous Engineering  
The aim of this paper is to explore and recognize hand gestures against complex backgrounds and lighting conditions. Mostly, previous approaches use off-line recognition for the hand motion, which make any gesture system not realistic and not suitable for on-line applications. Furthermore, 3D dynamic features are further extracted from the hand gesture path based on stereo strategy. Thus, the extracted features of dynamic affine-invariants such as location, orientation and velocity are derived
more » ... rom 3D spatio-temporal hand motion. After that the feature vectors are constructed by quantization and then employed to multi-class Support Vector Machine for training or texting. An application of isolated gestures from alphabet characters (A-Z) and numbers (0-9) are trained and tested with superior performance. Furthermore, the results are promising on several video samples in different situations.
doi:10.14257/ijmue.2016.11.11.33 fatcat:visz64n3gvbsrbk53a5krtzlqy