WiFi Sensing for Behavior Recognition

Project Member(s): Zhang, J.

Funding or Partner Organisation: iOmniscient Pty Ltd (iOmniscient Pty Ltd Funding)
iOmniscient Pty Ltd (iOmniscient Pty Ltd Funding)

Start year: 2018

Publications:

Shi, Z, Zhang, JA, Xu, RY & Cheng, Q 2022, 'Environment-Robust Device-Free Human Activity Recognition With Channel-State-Information Enhancement and One-Shot Learning', IEEE Transactions on Mobile Computing, vol. 21, no. 2, pp. 540-554.
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Shi, Z, Zhang, JA, Xu, R, Cheng, Q & Pearce, A 1970, 'Towards Environment-Independent Human Activity Recognition using Deep Learning and Enhanced CSI', GLOBECOM 2020 - 2020 IEEE Global Communications Conference, GLOBECOM 2020 - 2020 IEEE Global Communications Conference, IEEE, Taipei, Taiwan, pp. 1-6.
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Shi, Z, Zhang, JA, Xu, RY & Cheng, Q 1970, 'WiFi-Based Activity Recognition using Activity Filter and Enhanced Correlation with Deep Learning', 2020 IEEE International Conference on Communications Workshops (ICC Workshops), 2020 IEEE International Conference on Communications Workshops (ICC Workshops), IEEE, Dublin, Ireland, pp. 1-6.
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Shi, Z, Zhang, JA, Xu, R & Cheng, Q 1970, 'Deep Learning Networks for Human Activity Recognition with CSI Correlation Feature Extraction', ICC 2019 - 2019 IEEE International Conference on Communications (ICC), ICC 2019 - 2019 IEEE International Conference on Communications (ICC), IEEE, Shanghai, China.
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FOR Codes: Wireless Communications, Mobile Data Networks and Services, Wireless communication systems and technologies (incl. microwave and millimetrewave), Mobile technologies and communications

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.