Keiko Sakurai
Papers
1
Total Citations
5
H-Index
1
About
Keiko Sakurai is a researcher in biomechatronics and rehabilitation robotics, with a focus on developing intelligent assistive devices for gait recovery. Her work centers on robotic ankle–foot orthoses (AFOs) designed to support dorsiflexion during walking, particularly for individuals with neuromuscular impairments. A key contribution is her investigation into minimizing sensor inputs while maintaining high gait estimation accuracy—a critical challenge for practical, low-cost wearable robotics. In her most-cited paper (2021, 5 citations), she systematically compared deep neural network models and EMG signal feature values to optimize estimation of dorsiflexion, demonstrating how machine learning can compensate for reduced sensor arrays. This work addresses the trade-off between system simplicity and performance, advancing the feasibility of lightweight, user-friendly rehabilitation devices. Though early in her publication record, Sakurai’s research has already informed the design of more efficient, sensor-minimal robotic orthoses, contributing to the broader goal of accessible, data-driven gait therapy. Her findings are relevant for engineers and clinicians seeking to deploy smart AFOs in real-world rehabilitation settings.
Research Focus
Key Achievements
Top Papers
- 1