Workflows of predicting lower limb multi-joint kinematics, moments, and ground reaction forces (GRFs). (IMAGE)

Beijing Institute of Technology Press Co., Ltd

Workflows of predicting lower limb multi-joint kinematics, moments, and ground reaction forces (GRFs).

Caption

 (A) Experimental setup, including motion capture cameras, treadmill, force plates, and stairs, used for data acquisition [27]. (B) Deep learning-based method: marker trajectory-driven Graph-MLP Informer model. (C) Traditional method: musculoskeletal multibody dynamics simulation (MMDS). (D) Comparison of the prediction results from the Marker-GMformer model and the ground truth from MMDS.

Credit

Hao Zhou, Shenzhen Institutes of Advanced Technology

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