Determining the Online Measurable Input Variables in Human Joint Moment Intelligent Prediction Based on the Hill Muscle Model

Determining the Online Measurable Input Variables in Human Joint Moment Intelligent Prediction Based on the Hill Muscle Model

<i>Introduction</i>: Human joint moment is a critical parameter to rehabilitation assessment and human-robot interaction, which can be predicted using an artificial neural network (ANN) model. However, challenge remains as lack of an effective approach to determining the input variables...

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Bibliographic Details
Main Authors: Baoping Xiong, Nianyin Zeng, Yurong Li, Min Du, Meilan Huang, Wuxiang Shi, Guojun Mao, Yuan Yang
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
artificial neural network
joint moment prediction
extreme learning machine
hill muscle model
online input variables
Online Access:https://www.mdpi.com/1424-8220/20/4/1185

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https://www.mdpi.com/1424-8220/20/4/1185

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