Hand gesture recognition in natural human-computer interaction

Abstract

This paper introduces the definition of Gesture recognition. First the article gives a precise definition of gesture recognition and explains the difference between gestures and postures, then it reveals technical difficulties of Gesture recognition. These technical difficulties include four aspects. After analyzing the technology and methods of Gesture recognition and the technical difficulties, it concretely expounds gesture recognition process based on data gloves, which is widely studied before and it also introduces the computer vision based research achievement which is currently becoming a research hotspot in this field. Then it also takes Kinect and HoloLens as examples to introduce specific practical cases of gesture recognition in wearable devices. Also it outlines the application of gesture recognition technology in human-computer interaction which include but not limited to smart terminal, Game control, Robot Control, Clinical and Health, Smart home, Sign Language Recognition, Vehicle system, Interactive entertainment. Finally it reach the conclusion that the biggest challenge researchers meet is to build a powerful framework to overcome the common problems with fewer constraints to provide reliable results. And sometimes researchers need to combine multiple methods for different complex environments.