Exploring the boundaries of indoor combined thermal-acoustic environmental effects on comfort perceptions
Xin Wen,
No information about this author
Qi Meng,
No information about this author
Yuxin Yin
No information about this author
et al.
Building and Environment,
Journal Year:
2025,
Volume and Issue:
unknown, P. 112580 - 112580
Published: Jan. 1, 2025
Language: Английский
What Creates Unsafe Feelings in Rural Landscapes: A Study of Perceived Safety Based on Facial Expression Recognition
Jiayi Wang,
No information about this author
Zhenhong Yang,
No information about this author
Lei Yu
No information about this author
et al.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 575 - 575
Published: March 9, 2025
Over
3
billion
people
live
in
rural,
unincorporated
areas
globally,
which
are
vital
for
habitation
and
production.
The
perceived
safety
of
these
landscapes
significantly
impacts
health
well-being.
However,
rural
areas,
as
natural
environments
urban
populations
to
connect
with
nature,
have
not
been
sufficiently
addressed
terms
concerns.
Negative
factors
often
outweigh
those
promoting
safety,
limiting
the
restorative
potential
landscapes.
This
study
collected
audio–visual
samples
through
photography
recording,
captured
facial
emotional
responses
using
expression
recognition
models,
psychological
response
data
unsafety
scale,
statistically
evaluated
perceptions
Results
indicate
that
(1)
audio
stimuli
exert
a
stronger
influence
on
than
visual
stimuli,
an
EUPI
(Emotional
Unsafety
Perception
Index)
value
44.8%
higher
under
conditions
conditions;
(2)
artificial
sounds
amplify
by
30.9%
compared
sounds;
(3)
different
animal
show
significant
variations
reducing
unsafety,
birds
pigs
identified
positive
factors;
(4)
like
plant
shading
buildings
strongly
increase
unsafety;
(5)
matching
complicates
safety.
For
first
time,
we
identify
auditory
dominant
factor
These
insights
establish
scientific
foundation
practical
guidance
improving
environments.
Language: Английский
The Effect of Audiovisual Environment in Rail Transit Spaces on Pedestrian Psychological Perception
Mingli Zhang,
No information about this author
Xinyi Zou,
No information about this author
Xuejun Hu
No information about this author
et al.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(9), P. 1400 - 1400
Published: April 22, 2025
The
environmental
quality
of
rail
transit
spaces
has
increasingly
attracted
attention,
as
factors
such
train
noise
and
visual
disturbances
from
elevated
lines
can
impact
pedestrians’
psychological
perception
through
the
audiovisual
environment
in
these
spaces.
This
study
first
collects
materials
pedestrian
data
on-site
surveys,
measurements,
VR
simulations,
custom
Deep
Learning
(DL)
models.
Using
cluster
analysis,
environments
are
categorized
based
on
auditory
perceptions
evaluations
stations,
delineating
classifying
into
different
zones.
further
explores
interactive
effects
within
results
indicate
that,
perception,
space
300
m
a
station
be
divided
three
zones
four
distinct
types
effect
type
indicators
was
smaller
than
indicators,
category
vision
had
greatest
subjective
hearing
Zones
1
2.
not
only
provides
scientific
basis
for
improving
areas
but
also
offers
new
perspectives
practical
approaches
urban
transportation
planning
design.
Language: Английский
Construction and Evaluation of an Intelligent Analysis System for Interactive Teaching in Physical Education Classrooms
Donglin Xiao,
No information about this author
Wang Rong,
No information about this author
Yuqin Wei
No information about this author
et al.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
With
the
continuous
deepening
and
progress
of
research
in
physical
education
discipline,
school
state
put
landing
point
on
integration
information
technology
development
discipline.
In
this
paper,
we
design
system
framework
perform
data
module
design,
basis
which
conduct
detection
teacher-student
interaction
behavior.
The
article
employs
an
intelligent
analysis
based
YOLOv5
model
to
establish
a
This
is
movement
facial
observations
both
teachers
students
classroom.
system,
independent
t-test,
observed
behavior
ratio
verbal
analyzed
it
accordingly.
teacher-
student-type
speech,
teacher-direct
influence
speech
45.62%,
higher
than
indirect
while
student-passive
5.54%,
student-active
speech.
Finally,
interactive
was
evaluated
for
teaching
learning
understand
students’
feedback
analyzing
from
two
parts:
test
scores
satisfaction
surveys.
classroom,
teacher
primarily
uses
their
own
words
interacts
with
less
frequently.
However,
has
potential
significantly
enhance
performance
Physical
Education,
majority
reporting
improvements
PE
skills
other
areas.
terms
participation
32
thought
that
there
“great
improvement,”
22
“improvement,”
total
percentage
98.18%,
significant
effect.
Language: Английский