VR Study Highlights the Need for an Adaptive Learning Environment in Industrial Safety Training
Richard S. Hannah,
No information about this author
Julie Matuszczak,
No information about this author
M.G. BRIGGS
No information about this author
et al.
Journal of Educational Technology Systems,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 28, 2025
This
novel
qualitative
study
explores
the
transformative
potential
of
Virtual
Reality
(VR)
in
augmenting
Computer-Based
Training
(CBT)
for
energy
industry
contractors.
By
immersing
participants
four
VR
simulations,
delves
into
heart
how
learners
perceive
hazardous
work
environments
and
emergency
procedures
VR.
The
findings
reveal
a
paradigm
shift
learning
engagement
comprehension,
with
emerging
as
powerful
catalyst
cultivating
safer
practices
high-risk
settings.
Participants’
vivid
accounts
underscore
VR's
capacity
to
bridge
gap
between
theoretical
knowledge
practical
application,
however,
also
uncovers
critical
areas
refinement,
including
addressing
learner
hesitancy,
optimizing
levels,
calibrating
rigor
exercises
ensure
effective
transfer.
research
not
only
illuminates
path
forward
need
enhanced
safety
training
but
highlights
more
flexible,
adaptive
environment
this
specific
community.
Language: Английский
MC-EVM: A Movement-Compensated EVM Algorithm with Face Detection for Remote Pulse Monitoring
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(3), P. 1652 - 1652
Published: Feb. 6, 2025
Automated
tasks,
mainly
in
the
biomedical
field,
help
to
develop
new
technics
provide
faster
solutions
for
monitoring
patients’
health
status.
For
instance,
they
measure
different
types
of
human
bio-signal,
perform
fast
data
analysis,
and
enable
overall
patient
status
monitoring.
Eulerian
Video
Magnification
(EVM)
can
reveal
small-scale
hidden
changes
real
life
such
as
color
motion
that
are
used
detect
actual
pulse.
However,
due
movement
during
measurement,
EVM
process
will
result
wrong
estimation
In
this
research,
we
a
working
prototype
effective
artefact
elimination
using
face
compensated
(MC-EVM)
which
aims
track
main
Region
Of
Interest
(ROI)
then
use
estimate
Our
primary
contribution
lays
on
development
training
two
detection
models
TensorFlow
Lite:
Single-Shot
MultiBox
Detector
(SSD)
EfficientDet-Lite0
based
computational
capabilities
device
use.
By
employing
one
these
models,
crop
accurately
from
video,
is
processed
MC-EVM
showed
very
promising
results
ensured
robust
pulse
measurement
by
effectively
mitigating
impact
movement.
The
were
compared
validated
against
ground-truth
made
available
online
pre-existing
state-of-the-art.
Language: Английский
Effects of Virtual Reality Exercise Program on Cardiorespiratory Performance in Community-Dwelling Adults with Heart Surgery: A Randomized Controlled Trial (Preprint)
Published: Nov. 7, 2024
BACKGROUND
Patients
undergoing
heart
surgery
demonstrate
impaired
cardiorespiratory
performance.
Phase
II
cardiac
rehabilitation
in
people
with
open
aims
to
reduce
the
adverse
physical
effects
of
cardiovascular
diseases.
Virtual
reality
exercise
is
now
used
OBJECTIVE
This
study
aimed
explore
virtual
on
functional
capacity,
pulmonary
function,
and
respiratory
muscle
strength
patients
who
underwent
open-heart
were
phase
rehabilitation.
METHODS
Forty-nine
elective
randomized
into
a
group
(N
=
24)
control
25).
The
completed
8
weeks
home-based
program,
including
chest
trunk
mobilization
aerobic
circuit
training
for
30
minutes,
whereas
standard
care.
Intention-to-treat
analysis
was
conducted,
two-way
mixed
ANOVA
performed
compare
between
within
groups.
RESULTS
After
completing
8-week
showed
significant
improvement
capacity
compared
(66.29
±25.84,
p
.014).
Inspiratory
increased
both
baseline
(9.46
±2.85,
9.64
±2.78,
respectively).
In
addition,
after
intervention,
improvements
expiratory
forced
volume
1
second
as
percentage
predicted
found
session.
CONCLUSIONS
TCTR20230602001A
program
significantly
improved
but
not
or
control.
CLINICALTRIAL
TCTR20230602001
Language: Английский
Effects of Home-based Rehabilitation Exercise Program on Cardiorespiratory Performance in Community-Dwelling Adults with Heart Surgery: A Randomized Controlled Trial (Preprint)
JMIR Rehabilitation and Assistive Technologies,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 7, 2024
Patients
undergoing
heart
surgery
demonstrate
impaired
cardiorespiratory
performance.
Phase
II
cardiac
rehabilitation
(CR)
in
people
open
(OHS)
aims
to
reduce
the
adverse
physical
effects
of
cardiovascular
diseases.
Virtual
reality
(VR)
exercise
is
now
used
CR.
This
study
aimed
explore
VR
on
functional
capacity,
pulmonary
function,
and
respiratory
muscle
strength
patients
who
underwent
OHS
were
phase
Forty-nine
elective
CR
randomized
into
a
group
(N=24)
control
(N=25).
The
completed
8
weeks
home-based
program,
including
chest
trunk
mobilization
aerobic
circuit
training
for
30
minutes,
whereas
received
an
brochure
information
regarding
benefits
exercise.
Intention-to-treat
analysis
was
conducted,
2-way
mixed
ANOVA
performed
compare
between-
within-group
differences
capacity
After
completing
8-week
showed
significant
improvement
compared
(66.29,
SD
25.84
m;
P=.01).
Inspiratory
increased
both
groups
baseline
(9.46,
2.85
9.64,
2.78
cm
H2O,
respectively).
In
addition,
after
intervention,
improvements
found
expiratory
(15.79,
4.65
H2O)
forced
volume
1
second
as
percentage
predicted
values
(2.96%,
1.52%)
session.
program
significantly
improved
but
not
or
function.
Language: Английский