UWB-Fat estimates subcutaneous fat thickness with 0.63 mm RMSE using UWB radar signals and a physics-inspired model on 15 participants, as a non-intrusive caliper replacement.
Kwapisz, Gary M
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BasketHAR is a publicly released multimodal dataset of professional basketball training activities captured with inertial sensors, physiological signals, and video, accompanied by a baseline alignment method.
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UWB-Fat: Non-Intrusive Body Fat Measurement Using Commodity Ultra-Wideband Radar
UWB-Fat estimates subcutaneous fat thickness with 0.63 mm RMSE using UWB radar signals and a physics-inspired model on 15 participants, as a non-intrusive caliper replacement.
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BasketHAR: A Multimodal Dataset for Human Activity Recognition and Sport Analysis in Basketball Training Scenarios
BasketHAR is a publicly released multimodal dataset of professional basketball training activities captured with inertial sensors, physiological signals, and video, accompanied by a baseline alignment method.