CrossGR: Accurate and Low-cost Cross-target Gesture Recognition using Wi-Fi

Li, X, Chang, L, Song, F et al. (4 more authors) (2021) CrossGR: Accurate and Low-cost Cross-target Gesture Recognition using Wi-Fi. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5 (1). 21. ISSN 2474-9567

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Copyright, Publisher and Additional Information: © 2021 Association for Computing Machinery. This is an author produced version of an article published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Cross-target, Wireless Sensing, Gesture Recognition, Wi-Fi, Deep Learning
Dates:
  • Accepted: 12 January 2021
  • Published (online): 19 March 2021
  • Published: 19 March 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Feb 2021 13:45
Last Modified: 16 Apr 2021 12:40
Status: Published
Publisher: Association for Computing Machinery
Identification Number: https://doi.org/10.1145/3448100

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