Low-Complexity Framework for Movement Classification Using Body-Worn Sensors

Biswas, D, Maharatna, K, Panic, G et al. (5 more authors) (2017) Low-Complexity Framework for Movement Classification Using Body-Worn Sensors. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25 (4). pp. 1537-1548. ISSN 1063-8210

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Copyright, Publisher and Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Dates:
  • Published: April 2017
  • Accepted: 14 December 2016
  • Published (online): 9 January 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Mar 2020 14:50
Last Modified: 18 Mar 2020 21:45
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/tvlsi.2016.2641046

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