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3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification

US & West · 11 Sept

Automated gait analysis requires accurate classification and interpretable outputs. We propose an integrated framework for classifying healthy gait and multiple musculoskeletal impairment groups using bilateral ground reaction force (GRF) and center-of-pressure (COP) signals.

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Original headline: 3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification

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3D Digital Twin Visualization of Multiclass GRF-Based Gait Disorder Classification

Relevant to DT products

Related

Palantir объявила о новых альянсах с NVIDIA и Fujitsu для ИИ и кибербезопасности

Model-Free Control for Residential Heating: Deployment and Simulation of Nonlinear Data-Enabled Predictive Control

ForceTwin: Physics-informed Digital Twins for Robotic Manipulation from Instrumented Human Interaction