Ultra-Robust Real-Time Estimation of Gait Phase

An ultra-robust accurate gait phase estimator is developed by training a time-delay neural network (D67) on data collected from the hip and knee joint angles of 14 participants during treadmill and overground walking. Collected data include normal gait at speeds ranging from 0.1m/s to 1.9m/s and con...

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Main Authors: Mohammad Shushtari (Author), Hannah Dinovitzer (Author), Jiacheng Weng (Author), Arash Arami (Author)
格式: 圖書
出版: IEEE, 2022-01-01T00:00:00Z.
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3rd Floor Main Library

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索引號: A1234.567
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