Multi-phase optimization model predicts manual lifting motions with less reliance on experiment-based posture data.
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DOI: 10.1080/00140139.2022.2150322
Abstract: Optimization-based predictive models are widely-used to explore the lifting strategies. Existing models incorporated empirical subject-specific posture constraints to improve the prediction accuracy. However, over-reliance on these constraints limits the application of predictive models. This paper… read more here.
Keywords: posture; lifting motions; phase; phase optimization ... See more keywords