Author

Mariko Isogawa

2 papers indexed here

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#artificial intelligence Open access Mar 2025

BGM2Pose: Active 3D Human Pose Estimation With Non-Stationary Sounds

BGM2Pose is proposed, a non-invasive 3D human pose estimation method using pre-selected everyday music as active sensing signals and a Frequency-wise Attention Module that enables the model to focus on subtle acoustic variations attributable to human movement by dynamically computing attention across frequency bands.

Yuto Shibata, Yusuke Oumi, Go Irie et al. · IEEE Open Journal of Signal... · 1 citation

#artificial intelligence Preprint Sep 2026

Sound-based Multi-Person 3D Pose Estimation

This paper presents the first attempt to estimate multi-person 3D poses solely from acoustic signals, a novel encoder-decoder framework consisting of two key components that precisely reconstructs frame-wise individual poses.

Yusuke Oumi, Yuto Shibata, Go Irie et al. · 0 citations