Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals
Version 2 2024-06-02, 14:55
Version 1 2023-08-25, 04:28
conference contribution
posted on 2024-06-02, 14:55 authored by F Nazari, D Nahavandi, Navid MohajerNavid Mohajer, Abbas KhosraviAbbas KhosraviComparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals
History
Volume
2022-OctoberPagination
2251-2256Location
Prague, Czech RepublicStart date
2022-10-09End date
2022-10-12ISSN
1062-922XISBN-13
9781665452588Language
engPublication classification
E1 Full written paper - refereedTitle of proceedings
SMC 2022 : Proceedings of the 2022 IEEE International Conference on Systems, Man and CyberneticsEvent
Systems, Man, and Cybernetics. Conference (2022 : Prague, Czech Republic)Publisher
IEEEPlace of publication
Piscataway, N.J.Publication URL
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170203 Knowledge Representation and Machine Learning080110 Simulation and Modelling080199 Artificial Intelligence and Image Processing not elsewhere classified970109 Expanding Knowledge in Engineering970110 Expanding Knowledge in Technology401706 Numerical modelling and mechanical characterisation400711 Simulation, modelling, and programming of mechatronics systems280110 Expanding knowledge in engineering
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