Advanced Energy Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 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,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 10, 2024
Hydrogel-based
electronic
devices
in
aquatic
environments
have
sparked
widespread
research
interest.
Nevertheless,
the
challenge
of
developing
hydrogel
electronics
underwater
has
not
been
profoundly
surmounted
because
fragility
and
swelling
hydrogels
environments.
In
this
work,
a
zwitterionic
double
network
comprised
polyvinyl
alcohol
(PVA),
poly(sulfobetaine
methacrylate)
(PSBMA),
sulfuric
acid
(H
Sensors,
Journal Year:
2024,
Volume and Issue:
24(3), P. 735 - 735
Published: Jan. 23, 2024
Advancements
in
sensing
technology
have
expanded
the
capabilities
of
both
wearable
devices
and
smartphones,
which
are
now
commonly
equipped
with
inertial
sensors
such
as
accelerometers
gyroscopes.
Initially,
these
were
used
for
device
feature
advancement,
but
now,
they
can
be
a
variety
applications.
Human
activity
recognition
(HAR)
is
an
interesting
research
area
that
many
applications
like
health
monitoring,
sports,
fitness,
medical
purposes,
etc.
In
this
research,
we
designed
advanced
system
recognizes
different
human
locomotion
localization
activities.
The
data
collected
from
raw
contain
noise.
first
step,
detail
our
noise
removal
process,
employs
Chebyshev
type
1
filter
to
clean
sensor
data,
then
signal
segmented
by
utilizing
Hamming
windows.
After
that,
features
extracted
sensors.
To
select
best
system,
recursive
elimination
method
was
used.
We
SMOTE
augmentation
techniques
solve
imbalanced
nature
Extrasensory
dataset.
Finally,
augmented
balanced
sent
long
short-term
memory
(LSTM)
deep
learning
classifier
classification.
datasets
Real-World
Har,
Real-Life
Extrasensory.
presented
achieved
89%
85%
95%
proposed
outperforms
available
state-of-the-art
methods.
Advanced Energy Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 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.
