Journal Of Big Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Aug. 16, 2024
Abstract
The
construction
industry
substantially
contributes
to
the
economic
growth
of
a
country.
However,
it
records
large
number
workplace
injuries
and
fatalities
annually
due
its
hesitant
adoption
automated
safety
monitoring
systems.
To
address
this
critical
concern,
study
presents
real-time
approach
that
uses
Internet
Things
ensemble
learning.
This
leverages
wearable
sensor
technology,
such
as
photoplethysmography
electroencephalography
sensors,
continuously
track
physiological
parameters
workers.
data
is
processed
using
an
learning
called
ChronoEnsemble
Fatigue
Analysis
System
(CEFAS),
comprising
deep
autoregressive
temporal
fusion
transformer
models,
accurately
predict
potential
physical
mental
fatigue.
Comprehensive
evaluation
metrics,
including
mean
square
error,
absolute
scaled
symmetric
percentage
demonstrated
superior
prediction
accuracy
reliability
proposed
model
compared
standalone
models.
exhibited
remarkable
precision
in
predicting
fatigue,
evidenced
by
errors
0.0008
0.0033,
respectively.
promptly
recognizes
hazards
irregularities,
considerably
enhancing
worker
reducing
on-site
risks.
IEEE Internet of Things Journal,
Journal Year:
2024,
Volume and Issue:
11(15), P. 26314 - 26328
Published: April 26, 2024
Intelligent
wearable
systems
have
been
widely
used
in
health
monitoring,
motion
tracking,
and
engineering
safety.
However,
the
single
function
of
current
cannot
satisfy
requirements
complex
scenarios,
establish
a
relationship
with
virtual
3D
visualization
platform.
To
address
these
issues,
this
paper
proposes
novel
intelligent
system
emotion
recognition.
Multiple
sensors
are
integrated
into
to
collect
information.
In
order
achieve
accurate
classification
recognition
multiple
sensor
information,
we
propose
human
action
network
called
three-branch
spatial-temporal
feature
extraction
(TB-SFENet),
which
can
obtain
more
robust
features
an
accuracy
97.04%
on
UCI-HAR
dataset
92.68%
UniMiB
SHAR
dataset.
between
real
entity
space,
use
digital
twin
(DT)
technology
display
DT
The
platform
enables
real-time
information
interaction,
such
as
activity,
emotion,
location,
monitoring
Additionally,
TGAM
electroencephalogram
(TEEC)
dataset,
contains
120,000
pieces
data,
for
proposed
system.
Experimental
results
indicate
that
realizes
reality
interaction
personal
actual
person
based
system,
has
great
potential
applications
healthcare,
reality,
other
fields.
Journal of Intelligent Construction,
Journal Year:
2023,
Volume and Issue:
1(1), P. 9180002 - 9180002
Published: March 1, 2023
The
construction
industry
is
a
typical
labor-intensive
industry,
which
suffers
from
low
productivity
and
labor
shortage
in
the
past
decades.
Recently,
developments
robotics
artificial
intelligence
technologies
highlight
evolutionary
reforming
potential
industry.
An
increasing
number
of
robots
are
joining
tasks
collaborating
with
human
workers.
This
study
reviews
major
intelligent
human–robot
collaboration
(HRC)
technological
foundations
fundamental
concepts
collaborative
reviewed,
organized,
discussed
to
reveal
that
progress
has
been
made.
Based
on
comprehensive
review,
challenges
future
research
directions
HRC
have
proposed
examined.
finally
developed
in-depth
discussion
state-of-the-art
implementation
shed
light
its
path
development.
Smart and Sustainable Built Environment,
Journal Year:
2023,
Volume and Issue:
unknown
Published: March 21, 2023
Purpose
Construction
organizations
must
maintain
a
productive
workforce
without
sacrificing
their
health
and
safety.
The
global
construction
sector
loses
billions
of
dollars
yearly
to
poor
safety
practices.
This
study
aims
investigate
benefits
derivable
from
using
wearable
technologies
improve
also
reports
the
challenges
associated
with
adopting
technologies.
Design/methodology/approach
adopted
quantitative
design,
administering
close-ended
questions
professionals
in
Nigerian
industry.
research
data
were
analysed
descriptive
inferential
statistics.
Findings
found
that
critical
areas
can
benefit
WSDs
include
slips
trips,
sensing
environmental
concerns,
collision
avoidance,
falling
high
level
electrocution.
However,
key
barriers
preventing
are
related
cost,
technology
human
factors.
Practical
implications
time
cost
lost
H&S
incidents
be
reduced
by
implementing
report
this
study.
Originality/value
Studies
on
have
continued
increase
developed
countries,
but
Nigeria
is
yet
experience
leap
area.
provides
insights
into
reality
provide
directions
for
practice
theory.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(4), P. 1318 - 1318
Published: Feb. 18, 2024
In
the
rapidly
evolving
landscape
of
continuous
electrocardiogram
(ECG)
monitoring
systems,
there
is
a
heightened
demand
for
non-invasive
sensors
capable
measuring
ECGs
and
detecting
heart
rate
variability
(HRV)
in
diverse
populations,
ranging
from
cardiovascular
patients
to
sports
enthusiasts.
Challenges
like
device
accuracy,
patient
privacy,
signal
noise,
long-term
safety
impede
use
wearable
devices
clinical
practice.
This
scoping
review
aims
assess
performance
novel
multi-channel,
sensor-based
biopotential
adults.
A
comprehensive
search
strategy
was
employed
on
four
databases,
resulting
143
records
inclusion
12
relevant
studies.
Most
studies
focused
healthy
adult
subjects
(n
=
6),
with
some
examining
controlled
groups
atrial
fibrillation
(AF)
3),
long
QT
syndrome
1),
sleep
apnea
1).
The
investigated
bio-sensor
included
chest-worn
belts
2),
wrist
bands
adhesive
chest
strips
textile
smart
clothes
4).
primary
objective
evaluate
terms
quality,
comparability,
visual
assessment
ECGs.
Safety
findings,
reported
five
articles,
indicated
no
major
side
effects
long-term/continuous
monitoring,
only
minor
instances
skin
irritation.
Looking
forward,
are
ample
opportunities
enhance
test
these
technologies
across
various
physical
activity
intensities
conditions.
Buildings,
Journal Year:
2024,
Volume and Issue:
14(1), P. 180 - 180
Published: Jan. 10, 2024
The
construction
process
is
a
dynamic
one,
and
the
complexity
of
working
conditions
high
level
uncertainty
make
industry
third
most
dangerous
after
mining
agriculture.
And
since
vital
to
development
country,
safety
during
particular
importance.
A
great
deal
research,
studies
practices
have
been
conducted
reduce
potential
risks
improve
worker
efficiency
process.
In
recent
years,
with
rapid
cognitive
neuroscience
integration
medical
technology,
various
wearable
monitoring
devices
widely
used
in
field
building
for
real-time
workers’
physical
mental
conditions.
Among
them,
application
EEG
(electroencephalogram)
enables
researchers
gain
insight
into
state
workers
while
performing
tasks.
This
paper
introduces
technology
portable
equipment
summarizes
its
adverse
reactions
(emotion,
fatigue,
psychological
burden,
vigilance)
hazard
identification
which
provides
future
research
site
management.
