A multi-task learning model trained on synthetic mmWave-like point clouds estimates VAT and BFP from real full-body mmWave scans through clothing with mean absolute errors of 1.0 L and 3.2%.
IEEE Journal of Biomedical and Health Informatics29(2), 848–856 (2024)
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Non-intrusive Body Composition Assessment from Full-body mmWave Scans
A multi-task learning model trained on synthetic mmWave-like point clouds estimates VAT and BFP from real full-body mmWave scans through clothing with mean absolute errors of 1.0 L and 3.2%.