Hand Gesture Recognition Using Kinect V2 Based on Data Fusion: A Review of the Sources

Abstract

Gesture recognition is a computer-aided mathematical analysis of the movement of body parts (hand and face). It assists PCs with figuring out human non-verbal communication and construct an all the more impressive connection among people and machines. The recognition of hand gestures is the subject of numerous studies. Each work has accomplished different acknowledgment exactnesses with various hand motion datasets, but a large portion of the organizations are having deficient knowledge to foster important accomplishments to meet their improvement continuously datasets. In such circumstances, having complete knowledge of hand gesture recognition methods, their strengths and weaknesses, and the development criteria is crucial. Although numerous reports claim that its work is superior, none of them conduct a comprehensive relative analysis. A study of representative techniques for hand gesture recognition, recognition methods, and a brief introduction to hand gesture recognition are presented in this paper. The primary objective of this work is to emphasize the position of various recognition methods, which can indirectly assist in the development of new methods for resolving issues in hand gesture recognition systems. In addition, we offer clear directions for future research and a succinct description of the methods for hand gesture recognition systems.