Nature-inspired algorithms in sensing technology
Elsevier eBooks,
Год журнала:
2025,
Номер
unknown, С. 87 - 140
Опубликована: Янв. 1, 2025
Язык: 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
Опубликована: Авг. 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.
Язык: Английский
MMD-MSD: A Multimodal Multisensory Dataset in Support of Research and Technology Development for Musculoskeletal Disorders
Algorithms,
Год журнала:
2024,
Номер
17(5), С. 187 - 187
Опубликована: Апрель 29, 2024
Improper
sitting
positions
are
known
as
the
primary
reason
for
back
pain
and
emergence
of
musculoskeletal
disorders
(MSDs)
among
individuals
who
spend
prolonged
time
working
with
computer
screens,
keyboards,
mice.
At
same
time,
it
is
well
understood
that
automated
technological
tools
can
play
an
important
role
in
process
unhealthy
habit
alteration,
so
plenty
research
efforts
focused
on
technology
development
(RTD)
activities
aim
to
provide
support
prevention
or
MSDs.
Here,
we
report
creating
a
new
resource
RTD
aiming
at
detection
improper
positions.
It
consists
multimodal
multisensory
recordings
100
persons,
made
video
recorder,
camera,
wrist-attached
sensors
capture
physiological
signals
(PPG,
EDA,
skin
temperature),
motion
(three-axis
accelerometer).
Our
dataset
(MMD-MSD)
opens
opportunities
modeling
body
stance
(sitting
posture
movements),
state
(stress
level,
attention,
emotional
arousal
valence),
performance
(success
rate
Stroop
test)
people
computer.
Finally,
demonstrate
two
use
cases:
neck
from
pictures,
task-specific
cognitive
load
signals.
Язык: Английский
An innovative integrated solution to support digital postural assessment using the TACOs methodology
Computers & Industrial Engineering,
Год журнала:
2024,
Номер
194, С. 110376 - 110376
Опубликована: Июль 11, 2024
The
diversification
of
work
as
well
the
challenges
modern
industrial
tasks
make
manual
ergonomic
assessment
tools
(i.e.,
checklist,
excel-based
worksheet)
time
consuming
and
strongly
related
to
ergonomist's
experience.
Recent
advancements
in
wearable
sensors
technology
offer
new
perspectives
terms
integrating
human-monitoring
solutions
with
traditional
ergonomics
methods
by
movements'
digitization.
Furthermore,
digital
posture
plays
a
critical
role
context
Industry
5.0,
promoting
worker
well-being
productivity
identifying
risks
optimizing
environments.
Also,
leveraging
advanced
technologies
for
enables
proactive
intervention
strategies
mitigate
musculoskeletal
disorders
enhance
overall
workplace
safety
efficiency.
present
study
proposes
an
innovative
hardware
software
solution
which
allows
even
non-expert
designers
or
ergonomists
carry
out
reliable
postural
according
well-known
methods,
speeding
up
analysis
providing
accurate
information.
setup
consists
suit
its
proprietary
tool
specifically
programmed
Time-Based
Assessment
COmputerized
Strategy
(TACOs)
method.
has
been
preliminarily
tested
controlled
environment
simulating
real
scenario
comparison
standard
practices
performed.
Mann-Whitney
U
test
returned
p-value
[2.198e-11]
<
α
[0.05]
demonstrating
how
results
are
numerically
qualitatively
enhanced
while
showing
practical
utility
suggested
technical
validity
technique
retrieving
recognizing
workers'
posture.
Язык: 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,
Год журнала:
2024,
Номер
24(21), С. 6977 - 6977
Опубликована: Окт. 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.
Язык: Английский