“Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions” by Lee, Park, Park and Won
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Title:
- Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions
Session/Category Title: Motion Recipes and Simulation
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Abstract:
We present a novel generative model, Bidirectional GaitNet, that learns the relationship between high-dimensional human anatomy and its gait. It predicts a gait pattern of a person with specific physical conditions and also estimates the physical conditions of a person when their gait pattern is provided.