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Research questionHow can acoustic sensing recover each person’s 3D pose despite overlapping motion signatures and inter-person reflections?Motion changes from several people are superimposed in the acoustic signal, while reflections create propagation delays that blur which changes belong to whom and when.
AI
Audio & Speech Processing
Computer Vision
Machine Learning
Sound
Latest papersRecent research connected to this question, newest first.Sound-based Multi-Person 3D Pose EstimationThe source presents SoundMHPE for multi-person acoustic pose estimation and evaluates it on the six-hour AMP dataset containing 432,000 synchronized pose and acoustic frames. The reported evidence consists of comparisons with baseline models; the abstract does not specify the recording setup or broader deployment conditions.research paper · Sep 4, 2026
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