Sensors,
Journal Year:
2023,
Volume and Issue:
23(9), P. 4529 - 4529
Published: May 6, 2023
Immersive
virtual
reality
(IVR)
uses
customized
and
advanced
software
hardware
to
create
a
digital
3D
in
which
all
of
the
user's
senses
are
stimulated
with
computer-generated
sensations
feedback.
This
technology
is
promising
tool
that
has
already
proven
useful
Parkinson's
disease
(PD).
The
risk
falls
very
high
people
PD,
reaction
times
processing
speed
may
be
markers
postural
instability
functionality,
cognitive
impairment
progression.
An
exploratory
study
was
conducted
explore
feasibility
time
tests
performed
IVR
as
predictors
falls.
A
total
26
volunteers
(79.2%
male;
69.73
±
6.32
years)
diagnosed
PD
(1.54
0.90
H&Y
stage;
26.92
2.64
MMSE)
took
part
study.
intervention
feasible,
no
adverse
effects
(no
Simulator
Sickness
Questionnaire
symptoms).
were
related
(Spearman's
rho)
functionality
(timed
up
go
test
(TUG)
(rho
=
0.537,
p
0.005);
TUG-Cognitive
0.576,
0.020);
mini
mental
state
exam
(MMSE)
-0.576,
0.002))
years
patients
0.399,
0.043)
but
not
first
symptom
or
stage.
complementary
assessment
contribute
preventing
proposed
sample.
Additionally,
based
on
relationship
between
TUG
times,
cut-off
suggested
would
effective
at
predicting
suffering
fall
using
simple
quick
test.
Computer Science and Information Systems,
Journal Year:
2023,
Volume and Issue:
20(4), P. 1389 - 1417
Published: Jan. 1, 2023
Personalized
training
systems
and
augmented
reality
are
two
of
the
most
promising
educational
technologies
since
they
could
enhance
engineering
students?
spatial
ability.
Prior
research
has
examined
benefits
integration
in
increasing
motivation
enhancing
their
skills.
However,
based
on
review
literature,
current
do
not
provide
adaptivity
to
individual
needs.
In
view
above,
this
paper
presents
a
novel
adaptive
system,
which
teaches
knowledge
domain
technical
drawing.
The
novelty
proposed
system
is
that
it
proposes
using
fuzzy
sets
represent
levels
more
accurately
system.
determines
amount
level
difficulty
learning
activities
delivered
students,
progress.
main
contribution
student-centered,
providing
students
with
an
experience.
evaluation
took
place
during
2021-22
2022-23
winter
semesters,
results
very
promising.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(24), P. 9872 - 9872
Published: Dec. 16, 2023
Medical
image
analysis
forms
the
basis
of
image-guided
surgery
(IGS)
and
many
its
fundamental
tasks.
Driven
by
growing
number
medical
imaging
modalities,
research
community
has
developed
methods
achieved
functionality
breakthroughs.
However,
with
overwhelming
pool
information
in
literature,
it
become
increasingly
challenging
for
researchers
to
extract
context-relevant
specific
applications,
especially
when
widely
used
exist
a
variety
versions
optimized
their
respective
application
domains.
By
being
further
equipped
sophisticated
three-dimensional
(3D)
visualization
digital
reality
technology,
experts
could
enhance
performance
capabilities
IGS
multiple
folds.
The
goal
this
narrative
review
is
organize
key
components
aspects
processing
new
perspective
insights.
literature
search
was
conducted
using
mainstream
academic
engines
combination
keywords
relevant
field
up
until
mid-2022.
This
survey
systemically
summarizes
basic,
mainstream,
state-of-the-art
as
well
how
technology
like
augmented/mixed/virtual
(AR/MR/VR)
are
enhancing
IGS.
Further,
we
hope
that
will
shed
some
light
on
future
face
challenges
opportunities
directions
visualization.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(9), P. 4529 - 4529
Published: May 6, 2023
Immersive
virtual
reality
(IVR)
uses
customized
and
advanced
software
hardware
to
create
a
digital
3D
in
which
all
of
the
user's
senses
are
stimulated
with
computer-generated
sensations
feedback.
This
technology
is
promising
tool
that
has
already
proven
useful
Parkinson's
disease
(PD).
The
risk
falls
very
high
people
PD,
reaction
times
processing
speed
may
be
markers
postural
instability
functionality,
cognitive
impairment
progression.
An
exploratory
study
was
conducted
explore
feasibility
time
tests
performed
IVR
as
predictors
falls.
A
total
26
volunteers
(79.2%
male;
69.73
±
6.32
years)
diagnosed
PD
(1.54
0.90
H&Y
stage;
26.92
2.64
MMSE)
took
part
study.
intervention
feasible,
no
adverse
effects
(no
Simulator
Sickness
Questionnaire
symptoms).
were
related
(Spearman's
rho)
functionality
(timed
up
go
test
(TUG)
(rho
=
0.537,
p
0.005);
TUG-Cognitive
0.576,
0.020);
mini
mental
state
exam
(MMSE)
-0.576,
0.002))
years
patients
0.399,
0.043)
but
not
first
symptom
or
stage.
complementary
assessment
contribute
preventing
proposed
sample.
Additionally,
based
on
relationship
between
TUG
times,
cut-off
suggested
would
effective
at
predicting
suffering
fall
using
simple
quick
test.
