Advanced Intelligent Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 25, 2024
With
the
increasing
demand
for
immersive
haptic
experiences,
multimodal
tactile
sensing
and
feedback
have
become
crucial
enhancing
user
interaction.
In
this
work,
an
interactive
system
comprising
a
robotic
hand
wearable
device
is
introduced
to
facilitate
information
exchange
between
humans
robots.
The
hand,
equipped
with
force
temperature
sensors,
mimics
human
movements
through
vision
recognition
captures
detailed
data.
data
are
then
transmitted
hydraulic
device,
providing
realistic
touch
sensations.
dual
capabilities
of
mechanism
simultaneously
simulate
both
pressure
sensations
simplify
structure
enhance
reliability
compared
systems
that
require
multiple
actuators.
delivers
pressures
ranging
from
0.5
10.5
N
across
five
levels
while
provides
thermal
3
50
°C
three
levels.
Extensive
experimental
validations
demonstrate
system's
effectiveness
in
applications
such
as
remote
surgery
telepresence,
enabling
users
perceive
real‐time
contact
during
manipulation
tasks.
proposed
system,
capable
delivering
single
actuator,
represents
significant
step
toward
more
highlighting
its
broad
applicability.
Journal of Semiconductors,
Год журнала:
2025,
Номер
46(1), С. 011610 - 011610
Опубликована: Янв. 1, 2025
Abstract
Multimodal
sensor
fusion
can
make
full
use
of
the
advantages
various
sensors,
up
for
shortcomings
a
single
sensor,
achieve
information
verification
or
security
through
redundancy,
and
improve
reliability
safety
system.
Artificial
intelligence
(AI),
referring
to
simulation
human
in
machines
that
are
programmed
think
learn
like
humans,
represents
pivotal
frontier
modern
scientific
research.
With
continuous
development
promotion
AI
technology
Sensor
4.0
age,
multimodal
is
becoming
more
intelligent
automated,
expected
go
further
future.
this
context,
review
article
takes
comprehensive
look
at
recent
progress
on
AI-enhanced
sensors
their
integrated
devices
systems.
Based
concept
principle
technologies
algorithms,
theoretical
underpinnings,
technological
breakthroughs,
pragmatic
applications
fields
such
as
robotics,
healthcare,
environmental
monitoring
highlighted.
Through
comparative
study
dual/tri-modal
with
without
using
(especially
machine
learning
deep
learning),
highlight
potential
performance,
data
processing,
decision-making
capabilities.
Furthermore,
analyzes
challenges
opportunities
afforded
by
offers
prospective
outlook
forthcoming
advancements.
Advanced Energy Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 10, 2024
Abstract
In
the
era
of
Internet
Things
(IoT)
and
Artificial
Intelligence
(AI),
sensors
have
become
an
integral
part
intelligent
systems.
Although
traditional
sensing
technology
is
very
mature
in
long‐term
development,
there
are
remaining
defects
limitations
that
make
it
difficult
to
meet
growing
demands
current
applications,
such
as
high‐sensitivity
detection
self‐supplied
sensing.
As
a
new
type
sensor,
array
triboelectric
nanogenerators
(TENG)‐based
tactile
can
respond
wide
dynamic
range
mechanical
stimuli
surrounding
environment
converting
them
into
quantifiable
electrical
signals,
thus
realizing
real‐time
The
structure
allows
for
fine
delineation
area
improved
spatial
resolution,
resulting
accurate
localization
quantification
detected
been
widely
used
wearable
devices,
smart
interaction,
medical
health
detection,
other
fields.
this
paper,
latest
research
progress
functional
based
on
arrayed
systematically
reviewed
from
aspects
working
mechanism,
material
selection,
processing,
structural
design,
integration,
application.
Finally,
challenges
faced
by
summarized
with
view
providing
inspiration
guidance
future
development
sensors.
Advanced Materials,
Год журнала:
2024,
Номер
36(29)
Опубликована: Май 1, 2024
Neuromorphic
olfactory
systems
have
been
actively
studied
in
recent
years
owing
to
their
considerable
potential
electronic
noses,
robotics,
and
neuromorphic
data
processing
systems.
However,
conventional
gas
sensors
typically
the
ability
detect
hazardous
levels
but
lack
synaptic
functions
such
as
memory
recognition
of
accumulation,
which
are
essential
for
realizing
human-like
sensory
system.
In
this
study,
a
seamless
architecture
system
capable
detecting
memorizing
present
level
accumulation
status
nitrogen
dioxide
(NO
Applied System Innovation,
Год журнала:
2024,
Номер
7(5), С. 88 - 88
Опубликована: Сен. 23, 2024
This
article
advances
the
research
on
intelligent
monitoring
and
control
of
helicopter
turboshaft
engines
in
onboard
conditions.
The
proposed
neural
network
system
for
anomaly
prediction
functions
as
a
module
within
engine
expert
system.
A
SARIMAX-based
preprocessor
model
was
developed
to
determine
autocorrelation
partial
training
data,
accounting
dynamic
changes
external
factors,
achieving
accuracy
up
97.9%.
modified
LSTM-based
predictor
with
Dropout
Dense
layers
predicted
sensor
tested
error
margin
0.218%
predicting
TV3-117
aircraft
gas
temperature
values
before
compressor
turbine
during
one
minute
flight.
reconstructor
restored
missing
time
series
replaced
outliers
synthetic
values,
98.73%
accuracy.
An
detector
using
concept
dissonance
successfully
identified
two
anomalies:
malfunction
sharp
drop
minutes
activity,
type
I
II
errors
below
1.12
1.01%
detection
under
1.611
s.
system’s
AUC-ROC
value
0.818
confirms
its
strong
ability
differentiate
between
normal
anomalous
ensuring
reliable
accurate
detection.
limitations
involve
dependency
quality
data
from
sensors,
affected
by
malfunctions
or
noise,
LSTM
network’s
(up
97.9%)
varying
conditions,
model’s
high
computational
demand
potentially
limiting
real-time
use
resource-constrained
environments.
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 20, 2024
With
the
growing
demand
for
flexible
sensing
systems
and
precision
engineering,
there
is
an
increasing
need
sensors
that
can
accurately
measure
analyze
multimode
signals.
3D
printing
technology
has
emerged
as
a
crucial
tool
in
development
of
multimodal
due
to
its
advantages
design
flexibility
manufacturing
complex
structures.
This
paper
provides
review
recent
advancements
within
field
sensors,
with
particular
emphasis
on
relevant
working
mechanisms
involved
decoupling
First,
research
status
printed
discussed,
including
their
responsiveness
different
modal
stimuli
such
mechanics,
temperature,
gas.
Furthermore,
it
explores
methods
signals
through
structural
material
design,
artificial
intelligence,
other
technologies.
Finally,
this
summarizes
current
challenges
limited
selection,
difficulties
miniaturization
integration,
crosstalk
between
multisignal
outputs.
It
also
looks
forward
future
directions
area.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 3, 2025
As
one
of
the
core
parts
Internet-of-things
(IOTs),
multimodal
sensors
have
exhibited
great
advantages
in
fields
such
as
human-machine
interaction,
electronic
skin,
and
environmental
monitoring.
However,
current
substantially
introduce
a
bloated
equipment
architecture
complicated
decoupling
mechanism.
In
this
work
we
propose
fusion
sensing
platform
based
on
power-dependent
piecewise
linear
mechanism,
allowing
four
parameters
to
be
perceived
decoded
from
passive
wireless
single
component,
which
greatly
broadens
configurable
freedom
sensor
IOT.
A
systematic
model
is
employed
analyze
properties
ensure
feasibility
scheme.
The
excitation
power
dependence
provides
an
efficient
quantitative
strategy
unidentified
combinations
for
multiple
stimuli.
validation
wearable
device
skin
(e-skin),
functionalized
film
polyaniline/graphene
oxide
(PANI/GO)
served
synchronously
monitor
humidity,
temperature,
ultraviolet,
proximity
through
mapping
resonant
frequency
(
