Wi-Fi and Radar Fusion for Head Movement Sensing Through Walls Leveraging Deep Learning

Hameed, H., Tahir, A., Usman, M., Jiang, Z., Lubna, , Abbas, H. , Naeem, R., Tie Jun, C., Imran, M. A. and Abbasi, Q. (2024) Wi-Fi and Radar Fusion for Head Movement Sensing Through Walls Leveraging Deep Learning. [Data Collection]

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The dataset pertains to head movements, preserved in a manner that respects privacy. Specifically, radio frequency (RF) sensing technology was employed to capture the unique channel variations caused by head movements. The USRP x300, equipped with a VERT2450 omnidirectional antenna for transmission and a HyperLOG 7040 X for reception, was utilized. Additionally, the experiment was replicated using a Xethru UWB radar to capture Doppler frequency shifts resulting from lip movements. Six classes of lip movements were identified: Head Up, Head Down, Right 90, Left 90, Right 45, and Left 45. These classes were recorded in scenarios both with and without a wall, using Wi-Fi and radar signals. We succeeded in detecting head movements even when obstructed by a wall. Four subjects—two males and two females—participated in the experiments.

Funding:
College / School: College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Date Deposited: 08 Feb 2024 16:57
URI: https://researchdata.gla.ac.uk/id/eprint/1596

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Hameed, H., Tahir, A., Usman, M., Jiang, Z., Lubna, , Abbas, H. , Naeem, R., Tie Jun, C., Imran, M. A. and Abbasi, Q. (2024); Wi-Fi and Radar Fusion for Head Movement Sensing Through Walls Leveraging Deep Learning

University of Glasgow

DOI: 10.5525/gla.researchdata.1596

Retrieved: 2024-04-24

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