SImpHAR simulates bio-impedance signals from 3D motion and text, then uses contrastive pretraining and fine-tuning to improve impedance-based human activity recognition on two of three datasets.
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SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models
SImpHAR simulates bio-impedance signals from 3D motion and text, then uses contrastive pretraining and fine-tuning to improve impedance-based human activity recognition on two of three datasets.