Mr. Wataru Fujita, a doctoral student in the Graduate School of Life Science and Systems Engineering, received the Best Paper Award at the 2025 International Conference on Advancement in Healthcare Technology and Biomedical Engineering held in Vancouver, Canada.
His paper, titled “In-Situ Evaluation of Wearable Robotic Lumbar Support for Caregivers: A Bayesian Network Analysis Approach,” presents a groundbreaking method for evaluating wearable robotic lumbar support devices in real-world caregiving environments.
The study introduces a Bayesian network-based approach to separate task-related and individual variability, enabling more accurate analysis of WRLS effectiveness.
Notably, the research demonstrated significant assistive effects during forward-leaning postures in bathing care tasks.
The proposed evaluation method is expected to play a vital role in promoting the adoption of care robots in super-aged societies.
| Awardee | Mr. Wataru Fujita (2nd-year Doctoral Program, Department of Life Science and Systems Engineering, Graduate School of Life Science and Systems Engineering) |
| Presentation Title | In-Situ Evaluation of Wearable Robotic Lumbar Support for Caregivers: A Bayesian Network Analysis Approach |
| Supervisor | Professor Dr. Tomohiro Shibata (Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering) |
Mr. Fujita receiving the Best Paper Award (center)
Together with Dr. Ai Higuchi from JTEKT Corporation and Professor Tomohiro Shibata
