Reliability and Accuracy of Standard Reference Procedures for Measurements of Trunk and Arm Postures in Ergonomics
Bioengineering,
Journal Year:
2025,
Volume and Issue:
12(1), P. 50 - 50
Published: Jan. 9, 2025
Adequate
reference
procedures
for
obtaining
the
zero-angle
position
are
important
precise
and
accurate
posture
measurements,
but
few
studies
have
systematically
investigated
these.
A
limited
number
of
previous
suggest
differences
in
accuracy
between
procedures,
with
some
causing
an
underestimation
true
arm
elevation
angle
when
sensors
taped
to
skin.
The
reliability
commonly
used
measurement
trunk
is
also
not
well
explored,
alternative
may
improve
precision.
Based
on
this
identified
gap,
study
evaluated
test–retest
N-position
(I-pose),
i.e.,
standard
procedure
recording
postures,
compared
it
two
new
procedures.
Additionally,
measuring
angles
was
one
procedure.
total
40
participants
(22
women
18
men)
aged
26–70
years
performed
a
laboratory
setting.
Postures
were
recorded
using
smart
workwear
system
equipped
inertial
units
(IMUs)
embedded
pockets
within
workwear.
For
posture,
showed
slight
lack
reliability,
while
demonstrated
better
reliability.
N-position,
which
does
include
lateral
inclination,
resulted
substantial
approximately
15°,
novel
finding.
In
contrast,
involving
inclination
closely
matched
targeted
reference,
difference
less
than
2°.
This
underscores
importance
selecting
appropriate
ensure
measurements.
Language: Английский
Digital Approaches for Mitigating Occupational Vibration Exposure in the Context of Industry 4.0
Safety,
Journal Year:
2025,
Volume and Issue:
11(2), P. 31 - 31
Published: April 1, 2025
Whole-body
vibration
(WBV)
exposure
presents
occupational
health
risks
across
multiple
industries,
particularly
in
tasks
involving
heavy
machinery
and
prolonged
seating.
This
study
examines
WBV
risk
factors,
intervention
strategies,
the
potential
for
digital
monitoring
solutions
to
strengthen
workplace
safety.
A
sector-wide
analysis
assessed
levels,
worker-reported
discomfort,
effectiveness
of
existing
control
measures.
The
introduces
a
conceptual
framework
mobile
application
designed
integrate
real-time
tracking,
structured
worker
feedback,
predictive
assessment.
findings
confirm
that
varies
with
energy
maritime
logistics
sectors
showing
highest
levels
noncompliance.
tiered
strategy,
classified
by
impact
effort,
provides
method
prioritizing
reduction
Immediate
actions,
such
as
preventive
maintenance,
require
minimal
effort
but
provide
high-impact
benefits,
while
long-term
including
ergonomic
workstation
redesign,
demand
greater
investment
contribute
sustained
reduction.
proposed
offers
scalable,
data-driven
approach
management,
transitioning
safety
from
compliance-based
proactive
prevention.
Future
research
should
explore
implementation
feasibility,
adoption,
integration
AI-driven
recommendations
support
continuous
improvements
strategies.
Language: Английский
Effectiveness of Sensors-Based Augmented Feedback in Ergonomics to Reduce Adverse Biomechanical Exposure in Work-Related Manual Handling – A Rapid Review of the Evidence
Published: Aug. 21, 2024
Manual
handling
is
a
major
risk
factor
for
work-related
musculoskeletal
disorders
and
one
of
the
leading
causes
disability-adjusted
life
years
globally,
necessitating
multifaceted
reduction
measures.
One
potential
intervention
manual
tasks
work
technique
training
assisted
by
augmented
feedback
on
biomechanical
exposures.
However,
there
research
gap
regarding
its
effectiveness
specifically
in
both
real
environments
controlled
settings,
as
well
ability
to
induce
retained
reductions
exposure.
The
was
investigated
using
rapid
review
comprising
literature
search
two
databases
11
reviews/overviews
identify
studies
from
past
20
years,
up
published
June
1,
2024.
Sixteen
were
identified,
with
14
them
being
high
or
moderate
methodological
quality
included.
Three
conducted
eleven
settings.
Most
(n
=
9)
used
auditory
feedback,
followed
vibration
6).
In
environments,
evidence
sensor-based
reducing
exposure
during
administration
considered
be
inconsistent
very
limited
directly
after
administration.
For
longer
periods
administration,
ranging
week
more
than
six
months,
currently
no
demonstrating
feedback.
strong
immediately
months
post-administration
when
considering
included
training.
Future
needs
are
discussed.
Language: Английский
Effectiveness of Sensors-Based Augmented Feedback in Ergonomics to Reduce Adverse Biomechanical Exposure in Work-Related Manual Handling—A Rapid Review of the Evidence
Sensors,
Journal Year:
2024,
Volume and Issue:
24(21), P. 6977 - 6977
Published: Oct. 30, 2024
Manual
handling
is
a
major
risk
factor
for
work-related
musculoskeletal
disorders
and
one
of
the
leading
causes
disability-adjusted
life
years
globally,
necessitating
multifaceted
reduction
measures.
One
potential
intervention
manual
tasks
work
technique
training
assisted
by
augmented
feedback
on
biomechanical
exposures.
However,
there
research
gap
regarding
its
effectiveness
specifically
in
both
real
environments
controlled
settings,
as
well
ability
to
induce
retained
reductions
exposure.
The
was
investigated
using
rapid
review
comprising
literature
search
two
databases
11
reviews/overviews
identify
studies
from
past
20
years,
up
published
1
June
2024.
Sixteen
were
identified,
with
14
them
being
high
or
moderate
methodological
quality
included.
Three
conducted
eleven
settings.
Most
(n
=
9)
used
auditory
feedback,
followed
vibration
6).
In
environments,
evidence
sensor-based
reducing
exposure
during
administration
considered
be
inconsistent
very
limited
directly
after
administration.
For
longer
periods
administration,
ranging
week
more
than
six
months,
currently
no
demonstrating
feedback.
strong
immediately
months
post-administration
when
considering
included
training.
Future
needs
are
discussed.
Language: Английский
Design and Experimental Verification of a Posture Correction System: Development of an Artificial Neural Network to Predict the Effectiveness of the Developed System to Correct Poor Posture
International Journal of Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 11
Published: Nov. 25, 2024
Language: Английский