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Peer-to-Peer Networking and Applications
Published in: Peer-to-Peer Networking and Applications 3/2022

14-02-2022

HeadSee: Device-free head gesture recognition with commodity RFID

Authors: Kai Chen, Fuwei Wang, Miaoyu Li, Baoying Liu, Hao Chen, Feng Chen

Published in: Peer-to-Peer Networking and Applications | Issue 3/2022

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Abstract

Research shows that the head posture not only contains important interpersonal information but also is an external manifestation of human psychological activities. Head posture plays an important role in automotive safety, smart home, and other intelligent environments. Rf-based posture recognition method provides a non-contact and privacy protection method to detect and monitor human activities. However, how to separate weak activity state information from reflected signals has been a big challenge for this kind of method. This paper proposes HeadSee, a passive human head gesture sensing system built on a cheap commodity RFID device. Without attaching any device to the human body, HeadSee using ICA extracts the weak reflected RF signals from the human body for gesture sensing. And then HeadSee carefully models the head movement by utilizing the signal’s phase/RSS (received signal strength) changes and successfully quantifies the head gesture with continuous sequences of movement states. Extensive experiments show that even with interfering movements from other body parts, HeadSee can still achieve around 91% recognition accuracy of the head gestures.
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Metadata
Title
HeadSee: Device-free head gesture recognition with commodity RFID
Authors
Kai Chen
Fuwei Wang
Miaoyu Li
Baoying Liu
Hao Chen
Feng Chen
Publication date
14-02-2022
Publisher
Springer US
Published in
Peer-to-Peer Networking and Applications / Issue 3/2022
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-021-01126-1

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