Abstract
Human behavior recognition (HBR) has emerged as a core research area in human-computer interaction. In this article, we give a comprehensive introduction to HBR using Wi-Fi channel state information. We first comprehensively review the state-of-art of HBR, based on the two techniques that drove recent progress in Wi-Fi channel-state-information-based HBR -- fingerprint-based and model-based. Specifically, we describe their corresponding characteristics, general architectures, and provide a performance comparison of the two mechanisms. We then provide insights into the future directions of HBR research, and propose two possible new schemes, and the technical challenges coming with them.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
