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Sound-based Multi-Person 3D Pose Estimation
Can we recover the 3D poses of multiple people using only sound? This paper presents the first attempt to estimate multi-person 3D poses solely from acoustic signals. Estimating the poses of multiple individuals using acoustic signals is inherently challenging due to the superposition of motion-dependent signal variations. Unlike single-person scenarios, the presence of multiple subjects leads to overlapping acoustic signatures, making it difficult to attribute specific signal changes to an individual's pose. Furthermore, the complexity is compounded by inter-person reflections, which introduc
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-04T09:02:11.000Z
First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.