Real-Time Optimal Reach-Posture Prediction in a New Interactive Virtual Environment

Yang, James; Marler, R. Timothy; Beck, Steven; Abdel‐Malek, Karim; Kim, Joo

doi:10.1007/s11390-006-0189-3

Cited by 39 publications

(21 citation statements)

References 25 publications

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“…Multi-objective optimization is becoming more prominent in biomechanics and motor control research. It has been used to predict muscle activity and force patterns (Stokes and Gardner-Morse, 2001;Todorov, 2002), joint loading (Stokes and Gardner-Morse, 2001), posture (Yang et al, 2006;Marler et al, 2009;Xiang et al, 2010), ground reaction forces (Xiang et al, 2010), and hand motion patterns during upper limb reaching movements (Todorov, 2005). Selecting the correct weighting in a multi-objective optimization is essential for accurate predictions.…”

Section: Discussionmentioning

confidence: 99%

Increase in joint stability at the expense of energy efficiency correlates with force variability during a fatiguing task

Cashaback

Cluff

2015

Journal of Biomechanics

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Section: Discussionmentioning

confidence: 99%

Increase in joint stability at the expense of energy efficiency correlates with force variability during a fatiguing task

Cashaback

Cluff

2015

Journal of Biomechanics

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“…In addition, the use of optimization, in particular MOO, is limited. Mi (2004), Marler et al (2005a), andYang et al (2006) provide thorough synopses of posture-prediction methods in general. This article focuses primarily on the isolated use of optimization.…”

Section: Literature Reviewmentioning

confidence: 99%

“…), this article relates to postures, which are *Corresponding author. Email: tmarler@engineering.uiowa.edu dictated by a form of optimization-based posture prediction, whereby constraints gradient-based optimization is used directly and independently (Marler et al 2005a, 2005b, Yang et al 2006. This direct optimization-based approach to posture prediction entails having an avatar contact a specified target point with an end-effector, using a natural posture.…”

Section: Introductionmentioning

confidence: 99%

Use of multi-objective optimization for digital human posture prediction

Marler

Arora

Yang

et al. 2009

Engineering Optimization

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2009) Use of multi-objective optimization for digital human posture prediction, Engineering Optimization, 41:10, 925-943To link to this article: http://dx.With sufficient fidelity, the use of virtual humans can save time, money, and lives through improved product design, process design, and understanding of behaviour. Optimization-based posture prediction is a unique tool, and this article presents a study that advances posture prediction with a multi-objective optimization (MOO) approach. MOO is used to both develop and combine the following human performance measures: joint displacement; musculoskeletal discomfort; and a variation on potential energy. The following MOO methods are studied in the context of human modelling: objective sum; min-max; and global criterion. Using MOO yields realistic results. Of the independent performance measures, discomfort generally provides the most accurate postures. Potential energy, however, is not a significant factor in governing human posture and should be combined with other performance measures. The three MOO methods for combining performance measures yield similar results, but the objective sum provides slightly more realistic postures.

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“…For example, it is useful in the design of vehicle pedals. For the purpose of this study, a six-DOF kinematic model for the foot segment is used (Yang, Marler, Beck, Abdel-Malek, & Kim, 2006). The point of interest in this case is the middle toe, and the reference point is taken at the right hip joint.…”

Section: Lower Extremitymentioning

confidence: 99%

Human reach envelope and zone differentiation for ergonomic design

Yang

Abdel‐Malek

2008

Hum Ftrs & Erg Mfg Svc

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In human-centric design, the human reach envelope is one of the most important components to help layout design for workstations, vehicles, and aircrafts. It also can help people to study the range of motion of different body segments. Various methods have been developed to determine human reach envelopes. This article presents different methods and common challenges. Human reach envelopes only give feedback concerning whether a point is reachable. This is not enough for the designers. The more important information the designers need to know is the zones with different discomfort levels. This capability is a powerful tool for ergonomic designers. In addition, a methodology for workspace solid zone differentiation or surface zone differentiation in the three-dimensional space is presented.

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Real-Time Optimal Reach-Posture Prediction in a New Interactive Virtual Environment

Cited by 39 publications

References 25 publications

Increase in joint stability at the expense of energy efficiency correlates with force variability during a fatiguing task

Increase in joint stability at the expense of energy efficiency correlates with force variability during a fatiguing task

Use of multi-objective optimization for digital human posture prediction

Human reach envelope and zone differentiation for ergonomic design

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