Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(52)
Published: Aug. 20, 2024
Abstract
With
the
rapid
development
of
intelligent
wearable
technology,
multimodal
tactile
sensors
capable
data
acquisition,
decoupling
intermixed
signals,
and
information
processing
have
attracted
increasing
attention.
Herein,
a
decoupled
temperature–pressure
dual‐mode
sensor
is
developed
based
on
single‐walled
carbon
nanotubes
(SWCNT)
poly(3,4‐ethylenedioxythiophene):
poly(styrenesulfonate)
(PEDOT:PSS)
decorated
porous
melamine
foam
(MF),
integrating
with
deep
learning
algorithm
to
obtain
input
terminal.
Importantly,
synergistic
effect
PEDOT:PSS
SWCNT
facilitates
ideal
capability
sensitivity
toward
both
temperature
(38.2
µV
K
−1
)
pressure
(10.8%
kPa
thermoelectric
piezoresistive
effects,
respectively.
Besides,
low
thermal
conductivity
excellent
compressibility
MF
also
endow
it
merits
low‐temperature
detection
limit
(0.03
K),
fast
response
(120
ms),
long‐term
stability.
Benefiting
from
outstanding
sensing
characteristics,
assembled
array
showcases
good
capacity
for
identifying
spatial
distribution
signals.
assistance
algorithm,
displays
high
recognition
accuracy
99%
98%
corresponding
“touch”
“press”
actions,
respectively,
realizes
encrypted
transmission
accurate
identification
random
sequences,
providing
promising
strategy
design
high‐accuracy
platform
in
human–machine
interaction.
Advanced Science,
Journal Year:
2023,
Volume and Issue:
10(12)
Published: Feb. 17, 2023
Wearable
thermoelectric
generators
(TEGs),
which
can
convert
human
body
heat
to
electricity,
provide
a
promising
solution
for
self-powered
wearable
electronics.
However,
their
power
densities
still
need
be
improved
aiming
at
broad
practical
applications.
Here,
stretchable
TEG
that
achieves
comfortable
wearability
and
outstanding
output
performance
simultaneously
is
reported.
When
worn
on
the
forehead
an
ambient
temperature
of
15
°C,
exhibits
excellent
with
maximum
value
13.8
µW
cm-2
under
breezeless
condition,
even
as
high
71.8
air
speed
2
m
s-1
,
being
one
highest
values
TEGs.
Furthermore,
this
study
demonstrates
effectively
commercial
light-emitting
diode
stably
drive
electrocardiogram
module
in
real-time
without
assistance
any
additional
supply.
These
results
highlight
great
potential
these
TEGs
generation
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: May 27, 2023
Flexible
thermoelectric
generators
can
power
wearable
electronics
by
harvesting
body
heat.
However,
existing
materials
rarely
realize
high
flexibility
and
output
properties
simultaneously.
Here
we
present
a
facile,
cost-effective,
scalable
two-step
impregnation
method
for
fabricating
three-dimensional
network
with
excellent
elasticity
superior
performance.
The
reticular
construction
endows
this
material
ultra-light
weight
(0.28
g
cm-3),
ultra-low
thermal
conductivity
(0.04
W
m-1
K-1),
moderate
softness
(0.03
MPa),
elongation
(>100%).
obtained
network-based
flexible
generator
achieves
pretty
of
4
μW
cm-2,
even
comparable
to
state-of-the-art
bulk-based
generators.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(2), P. 817 - 817
Published: Jan. 10, 2023
The
emergence
and
advancement
of
flexible
electronics
have
great
potential
to
lead
development
trends
in
many
fields,
such
as
“smart
electronic
skin”
wearable
electronics.
By
acting
intermediates
detect
a
variety
external
stimuli
or
physiological
parameters,
sensors
are
regarded
core
component
systems
been
extensively
studied.
Unlike
conventional
rigid
requiring
costly
instruments
complicated
fabrication
processes,
can
be
manufactured
by
simple
procedures
with
excellent
production
efficiency,
reliable
output
performance,
superior
adaptability
the
irregular
surface
surroundings
where
they
applied.
Here,
recent
studies
on
for
sensing
humidity
strain/pressure
outlined,
emphasizing
their
sensory
materials,
working
mechanisms,
structures,
methods,
particular
applications.
Furthermore,
conclusion,
including
future
perspectives
short
overview
market
share
this
field,
is
given
further
advancing
field
research.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(52)
Published: Aug. 20, 2024
Abstract
With
the
rapid
development
of
intelligent
wearable
technology,
multimodal
tactile
sensors
capable
data
acquisition,
decoupling
intermixed
signals,
and
information
processing
have
attracted
increasing
attention.
Herein,
a
decoupled
temperature–pressure
dual‐mode
sensor
is
developed
based
on
single‐walled
carbon
nanotubes
(SWCNT)
poly(3,4‐ethylenedioxythiophene):
poly(styrenesulfonate)
(PEDOT:PSS)
decorated
porous
melamine
foam
(MF),
integrating
with
deep
learning
algorithm
to
obtain
input
terminal.
Importantly,
synergistic
effect
PEDOT:PSS
SWCNT
facilitates
ideal
capability
sensitivity
toward
both
temperature
(38.2
µV
K
−1
)
pressure
(10.8%
kPa
thermoelectric
piezoresistive
effects,
respectively.
Besides,
low
thermal
conductivity
excellent
compressibility
MF
also
endow
it
merits
low‐temperature
detection
limit
(0.03
K),
fast
response
(120
ms),
long‐term
stability.
Benefiting
from
outstanding
sensing
characteristics,
assembled
array
showcases
good
capacity
for
identifying
spatial
distribution
signals.
assistance
algorithm,
displays
high
recognition
accuracy
99%
98%
corresponding
“touch”
“press”
actions,
respectively,
realizes
encrypted
transmission
accurate
identification
random
sequences,
providing
promising
strategy
design
high‐accuracy
platform
in
human–machine
interaction.
