Affiliation:
1. University of Waterloo, ON, Canada
2. University of Delaware, Newark, USA
Abstract
Objective To explore whether the optimal objective function weightings change when using a digital human model (DHM) to predict origin and destination lifting postures under unfatigued and fatigued states. Background The ability to predict human postures can depend on state-based influences (e.g., fatigue). Altering objective function weightings within a predictive DHM could improve the ability to predict tasks specific lifting postures under unique fatigue states. Method A multi-objective optimization-based DHM was used to predict origin and destination lifting postures for ten anthropometrically scaled avatars by using different objective functions weighting combinations. Predicted and measured postures were compared to determine the root mean squared error. A response surface methodology was used to identify the optimal objective function weightings, which was found by generating the posture that minimized error between measured and predicted lifting postures. The resultant weightings were compared to determine if the optimal objective function weightings changed for different lifting postures or fatigue states. Results Discomfort and total joint torque weightings were affected by posture (origin/destination) and fatigue state (unfatigued/fatigued); however, post-hoc differences between fatigue states and lifting postures were not sufficiently large to be detected. Weighting the discomfort objective function alone tended to predict postures that generalized well to both postures and fatigue states. Conclusion Lift postures were optimal predicted using the minimization of discomfort objective function regardless of fatigue state. Application Weighting the discomfort objective can predict unfatigued postures, but more research is needed to understand the optimal objective function weightings to predict postures during a fatigued state.
Funder
Natural Sciences and Engineering Research Council of Canada
Subject
Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics
Reference48 articles.
1. Ahmed S., Irshad L., Demirel H. O., Tumer I. Y. (2019). Comparison of virtual reality and digital human modeling for proactive ergonomic design and performance assessment during an emergency situation. (February). Springer, 1–20. https://doi.org/10.13140/RG.2.2.19253.93923
2. A 2-D simulation model for lifting activities
3. Optimality and Modularity in Human Movement: From Optimal Control to Muscle Synergies
4. Muscle Fatigue and Fatigue-Related Biomechanical Changes During a Cyclic Lifting Task
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献