Takeda Kazuhisa

Papers

2

Total Citations

8

H-Index

2

About

Takeda Kazuhisa is pioneering the intersection of robotics and rehabilitation education, with a focused research agenda on quantifying and teaching expert-level therapeutic motion. His major contributions lie in using robotic arms—specifically the Samothrace (SAMO) device—to objectively differentiate between novice students and seasoned physical or occupational therapists. In his landmark 2020 study, Takeda employed Support Vector Machine analysis to identify distinct kinematic features that separate expert from student performance, achieving a critical proof-of-concept for data-driven therapy education. His 2021 feasibility study further clarified these manipulative indicators, comparing 8 expert therapists against 25 fourth-year students to isolate the precise motion elements that define clinical expertise. Though still emerging, his work has accumulated citations that underscore its novelty in a niche field, offering a tangible path toward standardizing hands-on training. By transforming subjective "therapeutic touch" into measurable, teachable robotic parameters, Takeda is laying the groundwork for a future where AI and robotics directly enhance the quality of rehabilitation education.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Distinction of Students and Expert Therapists Based on Therapeutic Motions on a Robotic Device Using Support Vector Machine
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago