Driver muscle fatigue analysis based on monorail crane operating environment biomechanical coupling model and surface electromyography signal

To quantitatively analyze and evaluate the driving fatigue of monorail crane drivers, this research established a biomechanical coupling model of the cab-driver operation environment within the Anybody. Muscle activation and muscle force were utilized as evaluation indicators to analyze the driving fatigue characteristics of monorail crane drivers. The research revealed that during the driving process, the biceps brachii displays the most pronounced variation for muscle activation and muscle force. In contrast, the trapezius and latissimus dorsi show less force and activation, with smoother curve changes. The extensor digitorum significantly exerts force during driving times of 1∼2, 12∼15.8, and 27∼30 s, with minimal activity otherwise. The rectus femoris, gastrocnemius, and soleus exhibit a cyclical pattern of increasing and then decreasing muscle force and activation. Peak durations for these muscles are 3∼21 and 27∼39 s, while the biceps femoris has the lowest muscle force and activation with minimal variation. A comprehensive analysis indicated that the overall fatigue of the lower limbs showed a continuous increase, with the fatigue being greater for lower limbs than upper limbs. Subsequently, surface electromyography experiment was conducted to validate the model by testing muscle electrical signal during maximum voluntary contraction (MVC). The results demonstrated that the relative error between the model and the experimental data was less than 15%, and the correlation coefficients were all greater than 0.966 ( p < 0.05), indicating a strong consistency between the model and the experimental data. Finally, EMG was employed to calculate and analyze the changes in muscle activity during the driving process. The findings from this research can serve as a theoretical foundation and provide data references for the optimization design of monorail crane.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2025-01-28
DOI
https://doi.org/10.1177/09544062251315322
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Driver muscle fatigue analysis based on monorail crane operating environment biomechanical coupling model and surface electromyography signal

Yunsheng Xin, Ning Zhenbing, Zhang Lili, Nina Su et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Muscle activation and electromyography studies
article

Driver muscle fatigue analysis based on monorail crane operating environment biomechanical coupling model and surface electromyography signal

Yunsheng Xin, Ning Zhenbing, Zhang Lili, Nina Su, Jin Hongyi
article en

Abstract

To quantitatively analyze and evaluate the driving fatigue of monorail crane drivers, this research established a biomechanical coupling model of the cab-driver operation environment within the Anybody. Muscle activation and muscle force were utilized as evaluation indicators to analyze the driving fatigue characteristics of monorail crane drivers. The research revealed that during the driving process, the biceps brachii displays the most pronounced variation for muscle activation and muscle force. In contrast, the trapezius and latissimus dorsi show less force and activation, with smoother curve changes. The extensor digitorum significantly exerts force during driving times of 1∼2, 12∼15.8, and 27∼30 s, with minimal activity otherwise. The rectus femoris, gastrocnemius, and soleus exhibit a cyclical pattern of increasing and then decreasing muscle force and activation. Peak durations for these muscles are 3∼21 and 27∼39 s, while the biceps femoris has the lowest muscle force and activation with minimal variation. A comprehensive analysis indicated that the overall fatigue of the lower limbs showed a continuous increase, with the fatigue being greater for lower limbs than upper limbs. Subsequently, surface electromyography experiment was conducted to validate the model by testing muscle electrical signal during maximum voluntary contraction (MVC). The results demonstrated that the relative error between the model and the experimental data was less than 15%, and the correlation coefficients were all greater than 0.966 ( p < 0.05), indicating a strong consistency between the model and the experimental data. Finally, EMG was employed to calculate and analyze the changes in muscle activity during the driving process. The findings from this research can serve as a theoretical foundation and provide data references for the optimization design of monorail crane.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 239(10)
Taiyuan Heavy Industry (China) (CN), Taiyuan University of Science and Technology (CN)
National Natural Science Foundation of China, Applied Basic Research Project of Shanxi Province, China
Openalex Percentile: Top 99%
Muscle activation and electromyography studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.