4 papers
Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learning
Yuto Shibata, Kashu Yamazaki, Lalit Jayanti +3
Humanoid robotics has strong potential to transform daily service and caregiving applications. Although recent advances in general motion tracking within physics engines (GMT) have…
Image-based Joint-level Detection for Inflammation in Rheumatoid Arthritis from Small and Imbalanced Data
Shun Kato, Yasushi Kondo, Shuntaro Saito +2
Rheumatoid arthritis (RA) is an autoimmune disease characterized by systemic joint inflammation. Early diagnosis and tight follow-up are essential to the management of RA, as ongoi…
BGM2Pose: Active 3D Human Pose Estimation with Non-Stationary Sounds
Yuto Shibata, Yusuke Oumi, Go Irie +3
We propose BGM2Pose, a non-invasive 3D human pose estimation method using arbitrary music (e.g., background music) as active sensing signals. Unlike existing approaches that signif…
Acoustic-based 3D Human Pose Estimation Robust to Human Position
Yusuke Oumi, Yuto Shibata, Go Irie +3
This paper explores the problem of 3D human pose estimation from only low-level acoustic signals. The existing active acoustic sensing-based approach for 3D human pose estimation i…