RESEARCH & DEVELOPMENT
Creating the future with cutting-edge technology.
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The frontier of research and development.
ORGO Inc. is dedicated to shaping the future through cutting-edge technology,
leading innovative technological developments in the realms of human anatomy science and AI.
We collaborate to innovate, striving to transform the health of individuals and the prospects of humanity for the better.
Our research and development focus on breakthrough technologies capable of inducing innovation in society,
directly impacting technological developments in products and services.
RESEARCH AREA
Research Fields
At ORGO, our research and development predominantly center on the fusion of AI and biomechanics technology, specifically in skeletal modeling. We focus on the following research domains:
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Computer Vision
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Pose Estimation Technology
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Inverse Kinematics Analysis
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Ground Reaction Force Estimation Technology
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Processing Optimization Technology
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Generation of Special Movement Analysis Models
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Disease Estimation Technology
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Motion Evaluation Technology
CORE TECHNOLOGIES
Core Technologies
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CORE TECHNOLOGIES01
Pose Estimation Technology
We're researching and developing pose estimation technology using computer vision with only a single-camera setup. This significantly reduces hardware costs that were traditionally required.
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CORE TECHNOLOGIES02
Ground Reaction Force Estimation Technology
This technology estimates the external force exerted on the human body using posture and environmental information obtained from pose estimation and image analysis. It generates temporal data derived from videos.
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CORE TECHNOLOGIES03
Musculoskeletal Model Generation Technology through Inverse Kinematics Analysis
By conducting inverse kinematics analysis based on movement and joint data obtained from pose estimation and ground reaction force estimation, we transform this into joint and muscle activity data to generate musculoskeletal models.
OUTCOMES
Research Outcomes
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Intellectual Property Rights AcquiredMore
- ・July 1, 2024:
- Information Processing Device, Information Processing Method, and Information Processing Program, Patent Application No. 2024-106155
- ・April 17, 2024:
- Motion Evaluation Device, Motion Evaluation Method, and Motion Evaluation Program, Patent Application No. PCT/JP2024/15298
- ・April 16, 2024:
- Analysys Support Device, Analysis Support Method, Analysis Support Program, Patent Application No. 2024-66399
- ・December 6, 2023:
- Display Control Device, Display Control System, Display Control Method, and Program, Patent Application No. 2023-206395
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PublicationsMore
- ・May 30, 2024:
- Ueno, R. (2024). Calibrationless monocular vision musculoskeletal simulation during gait. Heliyon, 10(11).
- ・April 23, 2024:
- Ueno, R., Tsuyuki, Y., & Tohyama, H. (2024). Validity of muscle activation estimated with predicted ground reaction force in inverse dynamics based musculoskeletal simulation during gait. Journal of Biomechanics, 168, 112118.
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Conference PresentationsMore
- ・March 10, 2024:
- Mössner, M., Schindelwig, K., Ueno, R., Ebenbichler, M., Heinrich, D., Eberle, R. & Nachbauer, W. (2024). ACL load at binding release in simulated backward twisting falls. 25th International Congress on Snowsports Trauma and Safety & 38th Congress of the International Society for Snowsports Medicine
- ・July 30, 2023:
- Ishida, T., Ueno, R., Kitamura, Y., Kitamura, Y., Samukawa, M. and Tohyama, H. (2023). THE RELATIONSHIP BETWEEN CENTER OF PRESSURE POSITION AND KNEE EXTENSOR MOMENT DURING DOUBLE-LEG SQUATTING. XXIX Congress of International Society of Biomecanics, O07-4
- ・July 30, 2023:
- Numata, R., Tsuyuki, Y., Ueno, R. (2023). IS COMPUTER VISION-BASED MOTION CAPTURE APPLICABLE FOR MUSCULOSKELETAL SIMULATION ? XXIX Congress of International Society of Biomecanics, P27-4
- ・July 30, 2023:
- Ueno, R., Numata, R., Tsuyuki, T., Tohyama, H. (2023). Predicted Ground Reaction Force Is Plausible to Use in Inverse Dynamics Based Musculoskeletal Simulation During Gait. XXIX Congress of International Society of Biomecanics, O34-1
FRAMEWORK
Research Structure
At ORGO, we have established the following research framework, creating a robust collaborative research system both internally and externally
ORGO Inc.Research Team
PI Ueno
Image Analysis &
Biomechanics
Hokkaido
University -
Musculoskeletal
Model
Rehabilitation Department
Clinical Application &
Clinical Data Acquisition
Department of Health Sciences, School of Medicine
Department of Information Science, School of Engineering
Mathematical Evaluation & Biomechanics
University Hospitals
Clinical Data Provision
ENVIRONMENT
Research Environment
ORGO possesses in-house laboratories equipped with cutting-edge motion capture facilities to capture human movements and acquire muscle activity data using electromyography sensors. Additionally, to expedite AI learning, we have high-performance AI analysis workstations. Moreover, by collaborating with hospitals, university hospitals, and research facilities, we access usually hard-to-obtain data, enabling AI learning.