Published

Multiple Patients Behavior Detection in Real-Time using mmWave Radar and Deep CNNs

F. Jin, R. Zhang, A. Sengupta, S. Cao, S. Hariri, N. K. Agarwal, S. K. Agarwal

IEEE Radar Conference, 2019 , pp. 1-6

Abstract

A multi-patient behavior detection system using mmWave radar arrays for real-time monitoring in clinical environments. Enables privacy-preserving simultaneous tracking and activity recognition for multiple subjects with deep CNN-based classification. Training dataset includes six types of behavior collected over a long duration.

Citation

F. Jin, R. Zhang, A. Sengupta, S. Cao, S. Hariri, N. K. Agarwal, S. K. Agarwal. "Multiple Patients Behavior Detection in Real-Time using mmWave Radar and Deep CNNs." IEEE Radar Conference: 1-6, 2019. DOI: 10.1109/RADAR.2019.8835656

Related Projects

Human Behavior Classification

Real-time multi-patient behavior detection using radar and deep CNNs

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Details

Year
2019
Published In
IEEE Radar Conference
Pages
1-6
DOI
10.1109/RADAR.2019.8835656
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