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Applicability of Eye Movement Parameters as Indicators of Fatigue during Weighted Walking
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Yi-xuan WEI1, Long-zhe JIN1, Xue-li WEN2, Ying ZHAO2
Science Technology and Engineering | 2025, 25(14) : 6128 - 6135
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Science Technology and Engineering | 2025, 25(14): 6128-6135
Papers·Environmental and Safe Science
Applicability of Eye Movement Parameters as Indicators of Fatigue during Weighted Walking
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Yi-xuan WEI1, Long-zhe JIN1, Xue-li WEN2, Ying ZHAO2
Affiliations
  • 1. Research Institute of Macro-safety Science, University of Science and Technology, Beijing 100083, China
  • 2. School of Civil and Resource Engineering, University of Science and Technology, Beijing 100083, China
Published: 2025-05-18 doi: 10.12404/j.issn.1671-1815.2405191
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To accurately and comprehensively explore the entire process of physical fatigue development in rescue team members during weighted walking, a multidimensional fatigue assessment method based on eye movement characteristics, electromyographic signals, and subjective evaluation is proposed. Eight volunteers were recruited for the weight-bearing walking fatigue induction experiment. The glasses eye tracking was used to extract the eye movement data about ST (saccade time), average SS (saccade speed) and maximum SA (saccade amplitude). The correlation between the characteristics of eye movement and the degree of fatigue estimated by subjective evaluation was -0.857±0.059, -0.938±0.092, not correlated, respectively. The correlation with iEMG to judge fatigue degree was -0.782±0.090, -0.942±0.030, -0.928±0.026, respectively. Multiple linear regression analysis was performed on subjective score, iEMG value and eye movement parameters. The regression model yielded a coefficient of determination R2=0.989, with the following standardized coefficients: iEMG signals=0.27, ST=-0.16, SS=-0.513, and SA=-0.124. This study makes new explorations and attempts in the monitoring and evaluation methods of fatigue during weighted walking.

eye movement signal  /  electromyographic signal  /  subjective evaluation  /  weight-bearing walking  /  fatigue monitoring and evaluation
Yi-xuan WEI, Long-zhe JIN, Xue-li WEN, Ying ZHAO. Applicability of Eye Movement Parameters as Indicators of Fatigue during Weighted Walking[J]. Science Technology and Engineering, 2025 , 25 (14) : 6128 -6135 . DOI: 10.12404/j.issn.1671-1815.2405191
Year 2025 volume 25 Issue 14
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Article Info
doi: 10.12404/j.issn.1671-1815.2405191
  • Receive Date:2024-07-11
  • Online Date:2025-07-09
  • Published:2025-05-18
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  • Received:2024-07-11
  • Revised:2025-02-27
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    1. Research Institute of Macro-safety Science, University of Science and Technology, Beijing 100083, China
    2. School of Civil and Resource Engineering, University of Science and Technology, Beijing 100083, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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