JSAI2025

Presentation information

Organized Session

Organized Session » OS-36

[4L1-OS-36] OS-36

Fri. May 30, 2025 9:00 AM - 10:40 AM Room L (Room 1007)

オーガナイザ:福田 賢一郎(産業技術総合研究所),江上 周作(産業技術総合研究所),宮田 なつき(産業技術総合研究所),Qiu Yue(産業技術総合研究所),鵜飼 孝典(富士通),川村 隆浩(東京大学),市瀬 龍太郎(東京科学大学),岡田 慧(東京大学)

9:40 AM - 10:00 AM

[4L1-OS-36-03] Visualization of Indoor Reachability-Related Risks Using a Digital Human Model

Derivation of Initial Posture Candidates Based on Machine Learning Adapted to the Environment

〇Rei Yamamoto2, Natsuki Miyata1, Yusuke Maeda2 (1. National Institute of Advanced Industrial Science and Technology, 2. Yokohama National Universiy)

Keywords:Digital Human Model, Reachability

This study aims to develop a system that quantitatively evaluates and visualizes indoor areas that are both accessible to children and prone to accidents by analyzing the reach postures of a digital human model. The system supports caregivers in creating a safer environment. Since reach postures vary dynamically depending on location—for example, a child may support their body with one hand—these postures exhibit discontinuous mechanical modes. To optimize the final posture using an optimization method, it is crucial to provide an appropriate initial posture. Therefore, this study introduces a machine learning-based approach for estimating initial postures and quantitatively evaluates the preventive effects of existing accident prevention products, thereby verifying the effectiveness of the proposed system.

Authentication for paper PDF access
A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.

Password