2024
DOI: 10.3390/s24185900
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A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar

Zisheng Li,
Ken Chen,
Yaoqin Xie

Abstract: Recognizing sleep posture is crucial for the monitoring of people with sleeping disorders. Existing contact-based systems might interfere with sleeping, while camera-based systems may raise privacy concerns. In contrast, radar-based sensors offer a promising solution with high penetration ability and the capability to detect vital bio-signals. This study propose a deep learning method for human sleep pose recognition from signals acquired from single-antenna Frequency-Modulated Continuous Wave (FMCW) radar dev… Show more

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