Sakie Morioka
Papers
1
Total Citations
2
H-Index
1
About
Sakie Morioka is a researcher in biomedical robotics and human-machine interfaces, with a focus on advancing myoelectric prosthetic technology. Her primary research areas include electromyography (EMG) signal processing, robotic hand control, and the integration of surface and deep muscle signals for more natural prosthetic movement. In her most-cited work, "Realization of Combined Motions by Robot Hand based on Surface and Deep Muscles' EMG" (2021), Morioka introduced a hybrid motion estimator that not only recognizes hand motions from EMG data but also estimates joint angles during each movement. This contribution addresses a critical challenge in prosthetics: enabling smooth, combined motions rather than discrete, single gestures. By incorporating deep muscle signals alongside surface EMG, her approach improves the accuracy and fluidity of robotic hand control. While her citation count is still growing, this work represents a foundational step toward more intuitive and responsive myoelectric prosthetic arms. Morioka’s research holds promise for enhancing the quality of life for amputees, and her innovative methodology continues to inspire further exploration in neural-machine interfaces and assistive robotics.
Research Focus
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Top Papers
- 1