Published

mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs

A. Sengupta, F. Jin, R. Zhang, S. Cao

IEEE Sensors Journal, 2020 , Vol. 20 (17) , pp. 10032-10044

Abstract

A real-time human skeletal pose estimation system using CNNs trained on mmWave radar data. The approach achieves efficient inference suitable for edge deployment while maintaining high accuracy in pose tracking applications. First method to detect more than 15 distinct skeletal joints using mmWave radar reflection signals.

Citation

A. Sengupta, F. Jin, R. Zhang, S. Cao. "mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs." IEEE Sensors Journal 20(17): 10032-10044, 2020. DOI: 10.1109/JSEN.2020.2991741

Publication Snapshot

Authors: A. Sengupta, F. Jin, R. Zhang, S. Cao
Venue: IEEE Sensors Journal
Published: 2020
Pages: 10032-10044
DOI: 10.1109/JSEN.2020.2991741

Related Projects

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Details

Year: 2020
Published In: IEEE Sensors Journal
Volume: 20
Issue: 17
Pages: 10032-10044
DOI: 10.1109/JSEN.2020.2991741

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