HAND MOTION RECOGNITION VIA NEURAL NETWORKS

Gesture recognition has emerged as one of the most important human-computer interaction techniques (HCI). This field attracts a large number of researchers. The history of hand gesture recognition is first explored in this study followed by a list of technical challenges. Then we'll look at the meaning of a hand gesture and explain how it works. In this research the approaches to hand gesture recognitionsuch as vision-based glove-based and depth-based are briefly compared. However the first two approaches are too simplistic and unnatural. Right now the most famous research path is the latest finger identification and hand gesture recognition technique using Kinect depth data. Finally we explore the implementation potential of Kinect-based hand gesture recognition.