Semi-supervised and Unsupervised Privacy-Preserving Distributed Transfer Learning Approach in HAR Systems-Reference-Cited by-同舟云学术

Semi-supervised and Unsupervised Privacy-Preserving Distributed Transfer Learning Approach in HAR Systems

Published:2020-11-28 Issue:2 Volume:117 Page:637-654
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Hashemian Mina,Razzazi Farbod^ORCID,Zarrabi Houman,Moin Mohammad Shahram

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-020-07891-1.pdf

Reference34 articles.

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3. Elbasiony, R., & Gomaa, W. (2019). A survey on human activity recognition based on temporal signals of portable inertial sensors (Vol. 921, pp. 734–745).

4. Prati, A., Shan, C., & Wang, K. I. K. (2019). Sensors, vision and networks: From video surveillance to activity recognition and health monitoring. Journal of Ambient Intelligence and Smart Environments, 11(1), 5–22.

5. Ahad, M. A. R., Antar, A. D., & Ahmed, M. (2019). IoT sensor-based activity recognition (Vol. 173). Berlin: Springer.

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