A machine learning-based model for athletic ability age assessment by gait characteristics-Reference-Cited by-同舟云学术

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A machine learning-based model for athletic ability age assessment by gait characteristics

Published:2024-06-14 Issue: Volume:199 Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
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Author:

Chen Ruijuan¹,Liu Jingyang¹,Liu Silin¹,Wang Linlin²,Wang Lei²

Affiliation:

1. TianGong University,School of Life Sciences,Tianjin,China

2. Chinese Academy of Medical Sciences & Peking Union Medical College,Institute of Biomedical Engineering,Tianjin,China

Funder

National Natural Science Foundation of China

Ministry of Education

Experiment

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10586233/10586443/10639957.pdf?arnumber=10639957

Reference21 articles.

1. Gait oscillation analysis during gait and stair-stepping in elder patients with knee osteoarthritis

2. On the imitation of CP gait patterns by healthy subjects

3. Dual-Task Does Not Increase Slip and Fall Risk in Healthy Young and Older Adults during Walking

4. Gait-based age progression/regression: a baseline and performance evaluation by age group classification and cross-age gait identification

5. A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data

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