Co-articulation Detection in Hand Gestures

The task of automatic gesture recognition is highly challenging due to the presence of unpredictable and ambiguous non gesture hand motions referred to as co-articulation. Due to co-articulation that occurs during transition from one gesture to the next, problem is encountered in continuous hand gesture recognition. In this paper, we have shown that co-articulation may be tackled by identifying the key frames in the gesture video sequence. We propose an acceleration feature for isolating the non gestural motions between meaningful gestural indications during trajectory guided recognition of hand gesture. Experimental results demonstrate the effectiveness our proposed scheme in identifying co-articulation in gestures thereby improving the gesture recognition rate.