Survey of Human Identification Algorithms Based on Wi-Fi Signal

Abstract

In recent years,Wi-Fi perception has become an emerging research direction in human-computer interaction due to its advantages of low cost,non-contact,unaffected by light,and better privacy.At present,the research of Wi-Fi perception has expanded from target positioning to fields such as action recognition and identity recognition.Taking human identity recognition as an example,the research on Wi-Fi perception technology in this field is summarized and analyzed.First,it briefly summarizes the development history,advantages and disadvantages of Wi-Fi perception technology,and introduces the advantages of using Wi-Fi signals for identification compared with traditional identification technologies.Second,it introduces Wi-Fi in detail.The basic process of perceiving identity includes 4 steps of signal acquisition,preprocessing,feature extraction,and identity recognition,and the specific operation process of each step is introduced in detail.Third,the existing gait and gestures are compared to the existing ones in terms of gait and gestures.The research results of Wi-Fi-aware identity are compared and analyzed horizontally and vertically.Finally,in view of the key issues in the current research in this field,the focus of future research is proposed,mainly including multi-person identification and migration learning.

Keywords

• wi-fi sensing|human identity recognition|rss|csi