Sport-induced fatigue detection in gait parameters using inertial sensors and support vector machines

M. Guaitolini, L. Truppa, A. M. Sabatini, A. Mannini, C. Castagna

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Training induced fatigue and recovery are deemed to drive adaptations leading to performance enhancements in exercise and sport. As a result, training loads should be accurately controlled and regulated to promote physiological and biomechanical adaptations. In this work, we investigated the sensitivity of inertial sensors to detect fatigue induced changes in gait kinematics in well trained team sports athletes. Thirteen young healthy subjects volunteered to perform a walking trial before and after an exhausting field test while wearing inertial sensors fit on their lower limbs, pelvis and trunk. Stride time (ST), ST variability (STV), stride length (SL), SL variability (SLV), gait speed (GS), symmetry index (SI), knee range of motion (ROM) and shank angular velocity (AV) were computed. These features were used to feed a support vector machines (SVM) classifier to distinguish non-fatigued and fatigued walking trials. Results showed significant (p < 0.05) pre-to-post changes in ST, STV, GS, SI and AV with the SVM classifier reporting an 84.62% accuracy. Thus, classification using gait features collected through inertial sensors could be promising for in-field fatigue detection.

Original languageEnglish
Title of host publication2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020
PublisherIEEE Computer Society
Pages170-174
Number of pages5
ISBN (Electronic)9781728159072
DOIs
Publication statusPublished - Nov 2020
Event8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 - New York City, United States
Duration: Nov 29 2020Dec 1 2020

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
Volume2020-November
ISSN (Print)2155-1774

Conference

Conference8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020
Country/TerritoryUnited States
CityNew York City
Period11/29/2012/1/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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