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Development of human posture simulation method for assessing posture angles and spinal loads.

Authors
Lu-M-L; Waters-T; Werren-D
Source
Hum Factors Ergon Manuf Serv Ind 2015 Jan/Feb; 25(1):123-136
NIOSHTIC No.
20041753
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 degrees and 15 degrees, respectively. The repeatability of the method for the same lifting condition was excellent (approximately 2 degrees). 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 quantify simultaneously body posture angles and spinal loading variables with accuracy and precision comparable to on-screen posture-matching methods.
Keywords
Posture; Analytical-processes; Biomechanical-modeling; Models; Ergonomics; Motion-studies; Author Keywords: Manual lifting; Human posture simulation; Three-dimensional static strength prediction program; Biomechanical model; Observational method
Contact
Ming-Lun Lu, National Institute for Occupational Safety and Health, 4676 Columbia Parkway MS C-24, Cincinnati, Ohio, USA
CODEN
HFEMF5
Publication Date
20150101
Document Type
Journal Article
Email Address
mlu@cdc.gov
Fiscal Year
2015
NTIS Accession No.
NTIS Price
Identifying No.
B20121218B
Issue of Publication
1
ISSN
1090-8471
NIOSH Division
DART
Source Name
Human Factors and Ergonomics in Manufacturing & Service Industries
State
OH
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