High
workplace
accident
rates
in
the
UK
industry
are
attributed
to
musculoskeletal
disorders.
Researchers
utilise
qualitative
ergonomics
risk
assessment
tools
evaluate
and
prevent
such
injuries
industrial
workers.
However,
there
is
a
lack
of
quantitative
assess
ergonomic
risks.
This
paper
aims
analyse
human
motion
using
an
optical
capture
system,
important
component
for
developing
human-centric
digital
twin
assessment.
The
results
from
this
study
will
be
integrated
into
detailed
next
part
research
project
which
predict
risks
injury.
work-in-progress
also
describes
data
collection
procedure
detail.
It
explains
how
kinematic
parameters
motion,
as
joint
angles,
can
calculated
Vicon
Nexus
software.
further
improve
angle
future
explore
other
more
comprehensively.
Electronics,
Journal Year:
2025,
Volume and Issue:
14(4), P. 646 - 646
Published: Feb. 7, 2025
Digital
twins
(DTs)
represent
a
transformative
technology
in
manufacturing,
facilitating
significant
advancements
monitoring,
simulation,
and
optimization.
This
paper
offers
an
extensive
bibliographic
review
of
AI-Based
DT
applications,
categorized
into
three
principal
dimensions:
operator,
process,
product.
The
operator
dimension
focuses
on
enhancing
safety
ergonomics
through
intelligent
assistance,
utilizing
real-time
monitoring
artificial
intelligence,
notably
human–robot
collaboration
contexts.
process
application
concerns
itself
with
optimizing
production
flows,
identifying
bottlenecks,
dynamically
reconfiguring
systems
predictive
models
simulations.
Lastly,
the
product
emphasizes
applications
focused
improvements
design
quality,
employing
lifecycle
historical
data
to
satisfy
evolving
market
requirements.
categorization
provides
structured
framework
for
analyzing
specific
capabilities
trends
DTs,
while
also
knowledge
gaps
contemporary
research.
highlights
key
challenges
technological
interoperability,
integration,
high
implementation
costs
emphasizing
how
digital
twins,
supported
by
AI,
can
drive
transition
toward
sustainable,
human-centered
manufacturing
line
Industry
5.0.
findings
provide
valuable
insights
advancing
state
art
exploring
future
opportunities
twin
applications.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(7), P. 4598 - 4598
Published: April 5, 2023
Occupational
safety
and
health
is
among
the
most
challenging
issues
in
many
industrial
workplaces,
that
various
factors
can
cause
occupational
illness
injury.
Robotics,
automation,
other
state-of-the-art
technologies
represent
risks
further
injuries
accidents.
However,
tools
currently
used
to
assess
workplaces
require
manual
work
are
highly
subjective.
These
include
checklists
assessments
conducted
by
experts.
Modern
Industry
4.0
such
as
a
digital
twin,
computerized
representation
world
of
physical
asset
real
world,
be
provide
safe
healthy
environment
human
workers
reduce
twins
should
designed
collect,
process,
analyze
data
about
workers.
The
problem
building
human-focused
twin
quite
requires
integration
modern
hardware
software
components.
This
paper
aims
brief
survey
recent
research
papers
on
twins,
focusing
applications,
which
considered
an
emerging
area.
authors
focus
enabling
for
acquisition
virtual
environment,
processing
procedures,
objectives
applications.
Additionally,
this
discusses
limitations
existing
studies
proposes
future
directions.
Bioengineering,
Journal Year:
2023,
Volume and Issue:
10(4), P. 445 - 445
Published: April 5, 2023
Recent
human-centered
developments
in
the
industrial
field
(Industry
5.0)
lead
companies
and
stakeholders
to
ensure
wellbeing
of
their
workers
with
assessments
upper
limb
performance
workplace,
aim
reducing
work-related
diseases
improving
awareness
physical
status
workers,
by
assessing
motor
performance,
fatigue,
strain
effort.
Such
approaches
are
usually
developed
laboratories
only
at
times
they
translated
on-field
applications;
few
studies
summarized
common
practices
for
assessments.
Therefore,
our
is
review
current
state-of-the-art
used
assessment
effort
working
scenarios
analyze
detail
differences
between
that
take
place
laboratory
order
give
insights
on
future
trends
directions.
A
systematic
aimed
evaluating
targeting
presented.
total
1375
articles
were
found
scientific
databases
288
analyzed.
About
half
focused
pilot
investigating
fatigue
laboratories,
while
other
set
places.
Our
results
showed
biomechanics
quite
field,
but
it
mostly
performed
instrumental
studies,
questionnaires
scales
preferred
Future
directions
may
be
oriented
towards
multi-domain
able
exploit
potential
combined
analyses,
exploitation
a
wider
range
people
implementing
more
structured
trials
translate
real
practice.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(5), P. 1526 - 1526
Published: Feb. 28, 2025
The
fourth
industrial
revolution
has
transformed
ergonomics
through
the
adoption
of
wearable
technologies
to
enhance
workplace
safety
and
well-being.
This
study
conducts
a
comprehensive
scoping
review,
structured
according
PRISMA
guidelines,
examining
how
devices
are
revolutionizing
ergonomic
practices
within
Industry
4.0.
After
analyzing
1319
articles
from
major
databases
including
SpringerLink,
MDPI,
Scopus,
IEEEXplore,
36
relevant
studies
were
selected
for
detailed
analysis.
review
specifically
focuses
on
improve
worker
comfort
safety,
promoting
more
productive
work
environments.
findings
reveal
that
have
significantly
impacted
conditions
in
settings,
with
artificial
intelligence
integration
showing
highest
presence
analyzed
applications.
Over
past
years,
technology
implementations
demonstrated
38%
improvement
optimizing
compared
traditional
approaches.
Procedia Computer Science,
Journal Year:
2023,
Volume and Issue:
219, P. 370 - 377
Published: Jan. 1, 2023
Due
to
the
high
cost
of
their
warehousing
operations,
many
manufacturing
companies
are
looking
increase
efficiency
warehouse.
To
this
end,
Industry
4.0
technologies
offer
several
solutions
address
issue.
One
them
is
digital
twin
(DT)
technology
which
relatively
new.
This
paper
presents
a
literature
review
on
DTs
in
warehousing.
The
analysis
framework
used
classify
papers
includes
general
description
DT,
possible
uses,
and
required
data.
Our
results
show
that
limitations
remain
exploit
full
potential
DT.
mainly
concern
characterization
data
required.
Journal of Medical Internet Research,
Journal Year:
2024,
Volume and Issue:
26, P. e58504 - e58504
Published: Sept. 23, 2024
The
concept
of
digital
twins,
widely
adopted
in
industry,
is
entering
health
care.
However,
there
a
lack
consensus
on
what
constitutes
the
twin
patient.
