Hand Gesture Recognition: A Survey
J. Yashas, G. Shivakumar · 2019
In this paper we present a literature survey on Hand Gesture Recognition (HGR). Having reached all the best possible ways for data acquisition like cameras, wrist sensors, hand gloves now these are of less concern. Now the higher emphasis is on feature extraction from the available data, algorithms used to improvise feature extraction. These processes have also been tested and in recent papers the drawback associated with one method of feature extraction is overcome by the fusion of another feature extraction method. The recent papers in HGR are about fusion of multi-modal like skeleton joint information, depth and RGB images are set of input entities and problem associated with one modal can be overcome by another.