TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction-Reference-Cited by-同舟云学术

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TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xiong Baoping¹^ORCID,Chang Yiran²^ORCID,Zeng Nianyin³^ORCID,Niu Yinxi²^ORCID,Zeng Hui²^ORCID,Li Han³^ORCID,Mao Guojun¹^ORCID,Xu Yong¹^ORCID

Affiliation:

1. Department of Computer Science and Mathematics and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

2. Department of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China

3. Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, Fujian, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Scientific Fund Projects in Fujian University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10490229.pdf?arnumber=10490229

Reference44 articles.

1. Movement pattern recognition in basketball free-throw shooting

2. Applications of neural networks in training science

3. ANFIS based knee angle prediction: An approach to design speed adaptive contra lateral controlled AK prosthesis

4. Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements

5. Human lower extremity joint moment prediction: A wavelet neural network approach

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