Abstract: Gesture recognition and interaction technology is the cornerstone task of frontier research in human-computer interaction technology and artificial intelligence technology. This task takes the collaborative work of computers and devices to recognize and process gesture information and give machine operations corresponding to gestures as the main goal， and integrates a number of technologies such as motion capture， image processing， image classification， and multi-terminal collaborative interaction， which is a powerful guarantee to support the command and control system， robot interaction， medical operation and other cutting-edge intelligent interaction and human-computer interaction work nowadays. At present， the research on gesture recognition and interaction has become more and more mature with a wide range of application fields and rich application scenarios. This paper mainly provides a review of the gesture recognition development and interaction related technologies and hardware. Firstly， it sorts the research progress of gesture recognition and interaction technology out comprehensively， and categories the key steps of gesture recognition at the same time. Secondly， it classifies and elaborates the related work of the current mainstream gesture recognition depth sensors used for 3D gesture interaction. Subsequently， it analyses and discusses the real sense recognition technology for 3D gesture recognition. Finally， it analyses the deficiencies and urgent problems in gesture recognition and interaction technology， proposes the integration of such cutting-edge technologies as deep learning， pattern recognition and other feasible research ideas and methods， and makes predictions and prospects for the future research direction， technology development and application areas in this field.

Key words: gesture recognition, gesture interaction, human-computer interaction, multimodal intelligent interaction, computer vision