Effect of human link length determination on posture reconstruction

Gragg, Jared; Yang, James; Cloutier, Aimee; Pitarch, Esteban Peña

doi:10.1016/j.apergo.2012.05.003

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…Accurate values for these parameters play an important role in digital human models. In our previous study, 17 the effect of link lengths on posture reconstruction was investigated. A probabilistic sensitivity study can provide an understanding of marker placement and its important role during motion capture experiments for obtaining more accurate link lengths and joint center locations.…”

Section: Discussionmentioning

confidence: 99%

“…Across the motion capture trial, link lengths vary from frame to frame, and it has been shown that the choice of link lengths does impact the solution to posture prediction and posture reconstruction problems, even for one subject. 17 Currently, methods in the literature for digital human modeling are primarily deterministic or only account for variability in anthropometric measurement by creating digital human models for several target populations. 8,22,24 Because the accuracy of deterministic methods depends on the accuracy of their input parameters, any error in the input values will propagate through to the output.…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic sensitivity analysis of in-vehicle reach tasks for digital human models considering anthropometric measurement uncertainty

2014

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2015). Probabilistic sensitivity analysis of in-vehicle reach tasks for digital human models considering anthropometric measurement uncertainty. Robotica, 33, pp 498-512 SUMMARYFor design using digital human models, human anthropometry data are required as input and are extracted from measurements. There is inherent error associated with these measurements which impacts the output of the simulation. Current techniques in digital human modeling applications primarily employ deterministic methods which are not well suited for handling variability in anthropometric measurement. An alternative to deterministic methods is probabilistic/sensitivity analysis. This study presents a probabilistic sensitivity approach to gain insights into how uncertainty in anthropometric measurements can affect the results of a digital human model with the specific application of vehicle-related reach tasks. Sensitivity levels are found to determine the importance of variability in each joint angle and link length to the final reach. A55-degree of freedom (DOF) digital human model is introduced to demonstrate the sensitivity approach for reach tasks. Seven right-hand reach target points and two left-hand reach target points (creating a total of 14 reach tasks) within a vehicle are used to compare the sensitivities in the joint angles and link lengths resulting from measurement uncertainty. The results show that the importance of each joint angle or link length is dependent on the characteristics of the reach task and sensitivities for joint angles, and link lengths are different for each reach task.

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Section: Discussionmentioning

confidence: 99%