关键词: 信道状态信息（CSI）, 行为识别, 特征提取, 分类算法

Abstract: In recent years, the application of wireless signals has made a series of breakthrough research results in the fields of behavior recognition, location and target detection. It has strong theoretical research significance and practical value for smart home, video teaching, virtual reality, family entertainment and so on, which is also the basic research content of intelligent human-computer interaction. This paper gives a brief review towards the research results of traditional motion recognition firstly, and introduces the basic characteristics and acquisition method of CSI. Algorithms used in recent researches on action recognition using CSI are thoroughly summarized and analyzed in three aspects：motion detection, feature extraction and classification of the action. The latest research achievements in related fields based on CSI are summarized and discussed. Finally, the limitations and possible directions of current research are pointed out.

Key words: Channel State Information（CSI）, behavior recognition, feature extraction, classification algorithm