Physiological Feature Recognition Algorithm of Human Exercise-Induced Fatigue Based on Parameter Analysis of Nanomachine Simulation for a Future Smart World-Reference-Cited by-同舟云学术

Physiological Feature Recognition Algorithm of Human Exercise-Induced Fatigue Based on Parameter Analysis of Nanomachine Simulation for a Future Smart World

Published:2022-08-04 Issue:3 Volume:51 Page:20220087
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Chen Yujue¹,Hu He²,Li Qiang³

Affiliation:

1. College of Physical Education and Sport Academy, Qinghai Normal University, No. 38, Wusi West Rd., Chengxi District, Xining, Qinghai Province 810009, China

2. College of Computer Science and Technology, Xi’an University of Science and Technology, No. 48 of Shaangu Rd., Lintong District, Xi’an 710000, China

3. College of Physical Education and Sport Academy, Qinghai Normal University, No. 38, Wusi West Rd., Chengxi District, Xining, Qinghai Province 810009, China (Corresponding author), e-mail: liqiang5442022@126.com, https://orcid.org/0000-0002-2492-2566

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference17 articles.

1. Exercise-Induced Fatigue in Young People: Advances and Future Perspectives;Patikas;European Journal of Applied Physiology,2018

2. Do Aerobic Characteristics Explain Isometric Exercise-Induced Neuromuscular Fatigue and Recovery in Upper and Lower Limbs?;Vernillo;Journal of Sports Sciences,2018

3. Effect of Particulate Matter Concentration on Changes in Physiological Fatigue Variables with Resistance Exercise;Kim;Iranian Journal of Public Health,2019

4. Exercise Training Combined with Bifidobacterium Longum OLP-01 Supplementation Improves Exercise Physiological Adaption and Performance;Huang;Nutrients,2020

5. Identification of Pedestrian Motion Characteristics Based on K-Nearest Neighbor Rule;Sun;Chinese Journal of Inertial Technology,2018