Musculoskeletal Estimation Using Inertial Measurement Units and Single Video Image

Vincent Samy (1, 2) , Ko Ayusawa (1) , Yusuke Yoshiyasu (1) , Ryusuke Sagawa (1) , Eiichi Yoshida (1)

1 CNRS-AIST JRL - Joint Robotics Laboratory
2 IDH - Interactive Digital Humans

We address the problem of estimating the physical burden of a human body. This translates to monitor and estimate muscle tension and joint reaction forces of a mus-culoskeletal model in real-time. The system should minimize the discomfort generating by any sensors that needs to be fixed on the user. Our system combines a 3D pose estimation from vision and IMU sensors. We aim to minimize the number of IMU fixed to the subject while compensating the remaining lack of information with vision.

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Modélisation et simulation

Vincent Samy, Ko Ayusawa, Yusuke Yoshiyasu, Ryusuke Sagawa, Eiichi Yoshida. Musculoskeletal Estimation Using Inertial Measurement Units and Single Video Image. ARSO 2019 - 15th IEEE International Conference on Advanced Robotics and its Social Impacts, Oct 2019, Beijing, China. pp.39-44, ⟨10.1109/ARSO46408.2019.8948820⟩. ⟨hal-02311483v2⟩