Abstract

When investigating manual material handling (MMH) tasks, such as lifting, the quantification of the various kinematic and kinetic parameters of the lift is an important step towards assessment of functional capacity and development of a biomechanical profile of task demands [1]. The kinematic and kinetic parameters of performance are vector quantities that are often expressed as a percentage of the duration of the lifting cycle. In order to study the effect of lift characteristics (load, mode, and speed) on the dynamic parameters of performance, appropriate statistical analysis should reflect their vectorial constitution as a percentage of the lift duration rather than the traditional method of using descriptive and inferential statistics based on collapsing the data over the cycle. The objective of this study is to develop the methodology for quantifying and evaluating the variability in performance of the motion patterns resulting from different lift characteristics during MMH tasks.

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