Sensors,
Год журнала:
2024,
Номер
24(13), С. 4417 - 4417
Опубликована: Июль 8, 2024
Virtual
reality
(VR)
driving
simulators
are
very
promising
tools
for
driver
assessment
since
they
provide
a
controlled
and
adaptable
setting
behavior
analysis.
At
the
same
time,
wearable
sensor
technology
provides
well-suited
valuable
approach
to
evaluating
of
drivers
their
physiological
or
psychological
state.
This
review
paper
investigates
potential
sensors
in
VR
simulators.
Methods:
A
literature
search
was
performed
on
four
databases
(Scopus,
Web
Science,
Science
Direct,
IEEE
Xplore)
using
appropriate
terms
retrieve
scientific
articles
from
period
eleven
years,
2013
2023.
Results:
After
removing
duplicates
irrelevant
papers,
44
studies
were
selected
Some
important
aspects
extracted
presented:
number
publications
per
year,
countries
publication,
source
publications,
study
aims,
characteristics
participants,
types
sensors.
Moreover,
an
analysis
discussion
different
provided.
To
improve
car
that
use
virtual
technologies
boost
effectiveness
particular
training
programs,
data
included
this
systematic
those
scheduled
upcoming
years
may
be
interest.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 14, 2025
Prolonged
use
of
digital
devices
and
sedentary
lifestyles
have
led
to
an
increase
in
the
prevalence
cervical
spondylosis
among
young
people,
highlighting
urgent
need
for
preventive
measures.
Recent
advancements
triboelectric
nanogenerators
(TENGs)
shown
their
potential
as
self-powered
sensors.
In
this
study,
we
introduce
a
novel,
flexible,
stretchable
TENG
neck
movement
detection.
The
proposed
utilizes
glycerol/poly(vinyl
alcohol)
(GL/PVA)
hydrogel
silicone
rubber
(GH-TENG).
Through
optimization
its
concentration
thickness
parameters
environmentally
friendly
dopants,
sensitivity
GH-TENG
was
improved
4.50
V/kPa.
Subsequently,
developed
smart
ring
with
sensor
human
monitoring.
By
leveraging
convolutional
neural
network
(CNN)
bidirectional
long
short-term
memory
(BiLSTM)
algorithm,
data
can
be
efficiently
analyzed
both
spatial
temporal
dimensions,
achieving
promising
recognition
accuracy
97.14%.
Additionally,
motion
monitoring
system
capable
accurately
identifying
recording
movements.
timely
alert
users
if
they
maintain
same
posture
more
than
30
min
provide
corresponding
recommendations.
deployment
on
Raspberry
Pi
4B,
offers
portable
efficient
solution
health
protection.
Abstract
The
surging
demand
for
sustainable
energy
solutions
and
adaptable
electronic
devices
has
led
to
the
exploration
of
alternative
advanced
power
sources.
Triboelectric
Nanogenerators
(TENGs)
stand
out
as
a
promising
technology
efficient
harvesting,
but
research
on
fully
flexible
environmental
friendly
TENGs
still
remain
limited.
In
this
study,
an
innovative
approach
is
introduced
utilizing
ionic‐solution
modified
conductive
hydrogel
embedded
with
piezoelectric
sodium
niobate
nanowires‐based
Nanogenerator
(NW‐TENG),
offering
intrinsic
advantages
healthcare
wearable
devices.
synthesized
NW‐TENG,
12.5
cm
2
surface
area,
achieves
peak
output
performance,
producing
≈840
V
voltage
2.3
µC
charge
transfer,
respectively.
rectified
powers
up
30
LEDs
stopwatch;
while
NW‐TENG
efficiently
charges
capacitors
from
1µF
100
µF,
reaching
1
within
4
65
s
at
6
Hz.
Integration
prototype
carbon
monoxide
(CO)
gas
sensor
transform
device
into
self‐powered
sensory
technology.
This
study
provides
comprehensive
understanding
nanowire
effects
TENG
insights
designing
highly
environmentally
TENGs,
extending
applications
portable
sensors
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 8, 2025
Abstract
The
soft
hydrogel
power
source
is
an
interesting
example
of
generating
electricity
from
clean
energy.
However,
ion‐selective
membranes
in
the
systems
are
often
limited
by
low
ion
selectivity,
high
membrane
resistance,
insufficient
mass
transfer,
and
concentration
polarization,
resulting
a
generally
output.
Inspired
unique
structure
electric
ray's
organ,
vertically
stacked
artificial
organ
proposed,
aiming
to
increase
output
current
greater
extent.
By
constructing
charge
gradient
ultrathin
membranes,
transport
accelerated
while
mitigating
polarization.
A
single
achieves
outputs
≈290
mV
≈1.46
mA
cm
−2
with
rechargeability,
surpassing
similar
devices.
Density
functional
theory
further
reveals
that
energy
barrier
charge‐gradient
lower
than
nongradient
membranes.
More
impressively,
device
can
still
be
applied
as
linear
self‐powered
pressure
sensor
for
monitoring
human
activities
after
completely
dissipated.
This
study
elucidates
key
role
design
gel
generation
system,
providing
new
insights
into
development
multifunctional
application
flexible
source.
Sensors,
Год журнала:
2025,
Номер
25(6), С. 1812 - 1812
Опубликована: Март 14, 2025
The
need
for
creative
solutions
in
the
real-time
monitoring
of
health
is
rapidly
increasing,
especially
light
incidents
relation
to
drivers
motor
vehicles.
A
sensor-based
system
provides
an
integrated
mechanism
diagnosing
and
managing
real
time,
enabling
detection,
prediction,
recommendation
treatment
prevention
disease
onset.
driver’s
represents
a
significant
advancement
assurance
driver
safety
well-being.
From
fitness
trackers
advanced
biosensors,
these
devices
have
not
only
made
healthcare
more
accessible
but
also
transformed
how
people
interact
with
their
data.
purpose
this
scoping
review
systematically
collect
evaluate
information
from
publications
on
systems
provide
comprehensive
overview
current
state
research
wearable
or
remote
sensor
technologies
monitoring.
It
aims
identify
knowledge
gaps
that
be
addressed
suggest
future
directions
will
help
fill
gaps.
This
approach
involves
topic
vehicle
contribute
field.
By
focusing
parameters
automotive
context,
highlights
potential
different
types
bridge
gap
between
safety.
Advanced Materials Technologies,
Год журнала:
2024,
Номер
9(10)
Опубликована: Март 14, 2024
Abstract
High‐performance
flexible
wearable
pressure
sensors
require
the
simple
preparation
method
coupled
with
a
well‐designed
structure.
Graphene
aerogel
has
garnered
significant
attention
as
sensor
due
to
its
exceptional
features
such
high
porosity,
favorable
compressibility,
and
fine
conductivity.
However,
it
remains
challenging
precisely
control
3D
structure
of
graphene
within
sensors,
which
limits
detection
sensitivity
application
range.
Here,
freeze‐assisted
transfer
printing
strategy
(FATPS)
is
proposed
for
fabricating
high‐performance
aerogel‐based
gradient
structures.
Compared
prepared
using
mold
methods,
produced
through
FATPS
can
be
enhanced
by
nearly
tenfold.
Furthermore,
empowers
excellent
reliability
rapid
response
time
(50
ms)
range
0.1–50
kPa.
The
exhibits
capability
monitor
recognize
various
physiological
activities,
including
pulse,
vocalization,
coughing,
swallowing,
finger
bending.
It
expected
that
remarkable
potential
applications
in
medical
diagnosis,
disability
aid,
athletic
injury
prevention
so
on.
Zeitschrift für anorganische und allgemeine Chemie,
Год журнала:
2024,
Номер
650(13-14)
Опубликована: Май 11, 2024
Abstract
Hydrogel
flexible
sensors
are
widely
used
in
wearable
devices,
health
care,
intelligent
robots
and
other
fields
due
to
their
excellent
flexibility,
biocompatibility
high
sensitivity.
With
the
development
of
single
sensor
multi‐channel
multi‐mode
network,
data
also
presents
characteristics
multi‐dimension,
complex
massive.
Traditional
analysis
methods
can
no
longer
meet
requirements
hydrogel
networks.
The
introduction
machine
learning
(ML)
technology
optimizes
process
analysis.
continuous
multi‐layer
neural
network
improvement
computer
performance,
deep
(DL)
algorithm
is
increasingly
achieve
higher
efficiency
accuracy,
provides
a
powerful
tool
for
sensor,
accelerates
equipment.
This
paper
introduces
classification
working
mechanism
common
algorithms
ML,
summarizes
application
ML
assist
care
information
recognition.
review
will
provide
inspiration
reference
integrating
into
field
sensors.
