A Multi-Branch Adaptive Model with Hybrid Time—Frequency Loss to the Enhanced Joint Moment Prediction of Prosthetic Control and Human Motion Applications

A Multi-Branch Adaptive Model with Hybrid Time—Frequency Loss to the Enhanced Joint Moment Prediction of Prosthetic Control and Human Motion Applications

In the fields of prosthetic control and rapid response prediction for human motion, the accurate prediction of joint moments is crucial for understanding and simulating human behavior. However, traditional time series models, especially when trained using small batches and limited data for single-ti...

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Bibliographic Details
Main Authors: Baoping Xiong, Jie Lou, Wenshu Ni, Zhikang Su, Shan Huang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
prediction joint moment
long-term dependencies
time series models
Online Access:https://www.mdpi.com/2076-3417/15/4/1678

Internet

https://www.mdpi.com/2076-3417/15/4/1678

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