Literature DB >> 26361435

Development of Human Posture Simulation Method for Assessing Posture Angles and Spinal Loads.

Ming-Lun Lu1, Thomas Waters1, Dwight Werren1.   

Abstract

Video-based posture analysis employing a biomechanical model is gaining a growing popularity for ergonomic assessments. A human posture simulation method of estimating multiple body postural angles and spinal loads from a video record was developed to expedite ergonomic assessments. The method was evaluated by a repeated measures study design with three trunk flexion levels, two lift asymmetry levels, three viewing angles and three trial repetitions as experimental factors. The study comprised two phases evaluating the accuracy of simulating self and other people's lifting posture via a proxy of a computer-generated humanoid. The mean values of the accuracy of simulating self and humanoid postures were 12° and 15°, respectively. The repeatability of the method for the same lifting condition was excellent (~2°). The least simulation error was associated with side viewing angle. The estimated back compressive force and moment, calculated by a three dimensional biomechanical model, exhibited a range of 5% underestimation. The posture simulation method enables researchers to simultaneously quantify body posture angles and spinal loading variables with accuracy and precision comparable to on-screen posture matching methods.

Entities:  

Keywords:  Biomechanical Model; Human Posture Simulation; Manual Lifting; Observational Method; Three Dimensional Static Strength Prediction Program

Year:  2015        PMID: 26361435      PMCID: PMC4562897          DOI: 10.1002/hfm.20534

Source DB:  PubMed          Journal:  Hum Factors Ergon Manuf        ISSN: 1090-8471            Impact factor:   1.722


  35 in total

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Journal:  Ergonomics       Date:  2004-04-15       Impact factor: 2.778

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  3 in total

1.  Efficacy of the revised NIOSH lifting equation to predict risk of low-back pain associated with manual lifting: a one-year prospective study.

Authors:  Ming-Lun Lu; Thomas R Waters; Edward Krieg; Dwight Werren
Journal:  Hum Factors       Date:  2014-02       Impact factor: 2.888

2.  Non-chemical Risk Assessment for Lifting and Low Back Pain Based on Bayesian Threshold Models.

Authors:  Sudha P Pandalai; Matthew W Wheeler; Ming-Lun Lu
Journal:  Saf Health Work       Date:  2016-11-09

3.  A kinematic posture analysis of neurological assistants in their daily working practice-a pilot study.

Authors:  Bijanzadeh Anne; Hermanns Ingo; Ellegast Rolf; Laura Fraeulin; Holzgreve Fabian; Stefanie Mache; David A Groneberg; Ohlendorf Daniela
Journal:  J Occup Med Toxicol       Date:  2020-12-09       Impact factor: 2.646

  3 in total

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