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Development of Human Posture Simulation Method for Assessing Posture Angles and Spinal Loads
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1
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
Link
https://doi.org/10.1002/hfm.20534
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
Conference/Symposia Proceedings
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
Page 1 of 1
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Page last reviewed:
December 9, 2020
Content source:
National Institute for Occupational Safety and Health
Education and Information Division
