“Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions” by Lee, Park, Park and Won

  • ©Jehee Lee, Moon Seok Park, Jungnam Park, and Jungdam 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.


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