Research & Patent
At the heart of MYoACT is a team of global leaders in orthopedic biomechanics and expert machine learning engineers. The accuracy of our platform is directly underpinned by our own extensive research and scientific breakthroughs.
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Peer-Reviewed Studies
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Scientific Presentations
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Granted Patents
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IP Filings
Collaborations
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Japan Institute for Health Security (JIHS)
・Clinical Implementation ・Clinical Data Acquisition
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Hokkaido University
Faculty of Health Sciences / Graduate School of Information Science and Technology
・Mathematical Evaluation & Biomechanics
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Asahikawa Medical University
University Hospital
・Clinical Data Provision
Research Team
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Advisor
Timothy E. Hewett
Timothy E. Hewett, PhD.
A world-renowned authority in orthopedic biomechanics, Dr. Hewett is a preeminent pioneer in ACL injury prevention research. Having spearheaded research divisions at the Mayo Clinic and The Ohio State University, his work has shaped the industry, supported by over 500 peer-reviewed publications and more than 60,000 citations.
- 01Professor, Marshall University
- 02Recipient of numerous NIH R01 Grants
- 0368,000+ Citations, h-index 140+
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Director / Head of Research
Ryo Ueno
Ryo Ueno, PT, PhD.
A specialist in musculoskeletal simulation, Dr. Ueno received his doctorate from Hokkaido University. After advancing his research at the Mayo Clinic, his work has been featured in leading international journals including the Journal of Biomechanics. As Head of Research at MYoACT, he leads the integration of clinical expertise and advanced biomechanical engineering.
- 01Licensed Physical Therapist
- 02Creator of 【Dr. Ueno】 Biomechanics Graduate School (YouTube)
- 03Expert in Pose Estimation AI, Musculoskeletal Simulation, and Finite Element (FE) Modeling
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Senior R&D Engineer
Claire V. Hammond
Claire V. Hammond, PhD.
Dr. Hammond earned her PhD at Rice University under the mentorship of Dr. B.J. Fregly, specializing in the development of advanced neuromusculoskeletal modeling. She currently leads the development and architectural design of MYoACT’s proprietary musculoskeletal analysis engine, bridging the gap between complex computational theory and clinical application.
- 01PhD in Computational Biomechanics
- 02Invited Speaker at ISB 2023 / 2025
- 03Lead Developer, MYoACT Musculoskeletal Engine
Featured Research
Validity of muscle activation estimated with predicted ground reaction force in inverse dynamics based musculoskeletal simulation during gait.
- PUBLISHED IN
- Journal of Biomechanics, 2024;168:112118
The measurement of Ground Reaction Force (GRF) is fundamental to musculoskeletal modeling; however, reliance on force plate infrastructure limits practical utility in clinical field settings. This research establishes a validated framework for predicting GRF from kinematic data alone. Through an analysis of 50 subjects, we confirmed that inverse dynamics-based muscle activation estimations derived from predicted GRF are equivalent in accuracy to traditional measured methods. These findings provide the scientific foundation for force-plate-free musculoskeletal simulation, enabling robust biomechanical analysis outside of the laboratory.
Ueno, R., Tsuyuki, Y., & Tohyama, H. (2024).
Calibrationless monocular vision musculoskeletal simulation during gait
- PUBLISHED IN
- Heliyon, 2024;10(11):e32078
Traditional motion capture systems require expensive hardware and rigorous calibration, which has long hindered their adoption in clinical settings. This study develops and validates a pipeline capable of estimating joint angles, Ground Reaction Forces (GRF), joint moments, and muscle activations using only a single smartphone—completely eliminating the need for calibration. The results demonstrated a Mean Absolute Error (MAE) of 6.6° for primary joint angles, 5.0% BW for GRF, and 0.11 for muscle activations. By enabling quantitative movement assessment from a single video, this research confirms the feasibility of high-fidelity clinical rehabilitation diagnostics.
Ueno, R.
Publications & Patents
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