Locomotion transition prediction at Anticipatory Locomotor Adjustment phase with SHAP feature selection-Reference-Cited by-同舟云学术

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Locomotion transition prediction at Anticipatory Locomotor Adjustment phase with SHAP feature selection

Published:2024-06 Issue: Volume:92 Page:106105
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Ziyao,Pang Jun,Tao Pengyu,Ji Zhimin,Chen Jingwen,Meng Lin,Xu Rui,Ming Dong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. Human activity analysis;Aggarwal;ACM Comput. Surv.,2011

2. Human activity recognition (HAR) using deep learning: review, methodologies, progress and future research directions;Kumar;Arch. Comput. Meth. Eng.,2023

3. The Role of Assistive Robotics in the Lives of Persons with Disability;Brose;Am. J. Phys. Med. Rehabil.,2010

4. Joint power, joint work and lower limb muscle activity for transitions between level walking and stair ambulation at three inclinations;Grimmer;PLoS. One,2023

5. Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review;Chen;IEEE. J. Biomed. Health. Inform,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Modality Self-Attention and Fusion-Based Neural Network for Lower Limb Locomotion Mode Recognition;IEEE Transactions on Automation Science and Engineering;2024

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