Deep convolutional neural networks for human action recognition using depth maps and postures

Kamel, A., Sheng, B., Yang, P. orcid.org/0000-0002-8553-7127 et al. (3 more authors) (2019) Deep convolutional neural networks for human action recognition using depth maps and postures. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49 (9). pp. 1806-1819. ISSN 2168-2216

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Copyright, Publisher and Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Action Recognition; Depth Motion Image; Moving Joints Descriptor; Convolutional neural network
Dates:
  • Accepted: 8 June 2019
  • Published (online): 11 July 2019
  • Published: September 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Sep 2019 13:39
Last Modified: 23 Sep 2019 13:39
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tsmc.2018.2850149
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