Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(17), P. 9899 - 9948
Published: Aug. 28, 2024
Electronic
skins
(e-skins)
have
seen
intense
research
and
rapid
development
in
the
past
two
decades.
To
mimic
capabilities
of
human
skin,
a
multitude
flexible/stretchable
sensors
that
detect
physiological
environmental
signals
been
designed
integrated
into
functional
systems.
Recently,
researchers
increasingly
deployed
machine
learning
other
artificial
intelligence
(AI)
technologies
to
neural
system
for
processing
analysis
sensory
data
collected
by
e-skins.
Integrating
AI
has
potential
enable
advanced
applications
robotics,
healthcare,
human–machine
interfaces
but
also
presents
challenges
such
as
diversity
model
robustness.
In
this
review,
we
first
summarize
functions
features
e-skins,
followed
feature
extraction
different
models.
Next,
discuss
utilization
design
e-skin
address
key
topic
implementation
e-skins
accomplish
range
tasks.
Subsequently,
explore
hardware-layer
in-skin
before
concluding
with
an
opportunities
various
aspects
AI-enabled
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(22), P. 14672 - 14684
Published: May 17, 2024
Flexible
sensing
systems
(FSSs)
designed
to
measure
plantar
pressure
can
deliver
instantaneous
feedback
on
human
movement
and
posture.
This
is
crucial
not
only
for
preventing
controlling
diseases
associated
with
abnormal
pressures
but
also
optimizing
athletes'
postures
minimize
injuries.
The
development
of
an
optimal
sensor
hinges
key
metrics
such
as
a
wide
range,
high
sensitivity,
long-term
stability.
However,
the
effectiveness
current
flexible
sensors
impeded
by
numerous
challenges,
including
limitations
in
structural
deformability,
mechanical
incompatibility
between
multifunctional
layers,
instability
under
complex
stress
conditions.
Addressing
these
limitations,
we
have
engineered
integrated
system
sensitivity
reliability
gait
analysis.
It
features
high-modulus,
porous
laminated
ionic
fiber
structure
robust
self-bonded
interfaces,
utilizing
unified
polyimide
material
system.
showcases
(156.6
kPa–1),
extensive
range
(up
4000
kPa),
augmented
interfacial
toughness
durability
(over
150,000
cycles).
Additionally,
our
FSS
capable
real-time
monitoring
distribution
across
various
sports
activities.
Leveraging
deep
learning,
achieves
high-precision,
intelligent
recognition
different
types
99.8%
accuracy
rate.
approach
provides
strategic
advancement
field
sensors,
ensuring
prolonged
stability
even
amidst
dynamics
providing
feasible
solution
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(13), P. 9365 - 9377
Published: March 22, 2024
The
emerging
field
of
wearable
electronics
requires
power
sources
that
are
flexible,
lightweight,
high-capacity,
durable,
and
comfortable
for
daily
use,
which
enables
extensive
use
in
electronic
skins,
self-powered
sensing,
physiological
health
monitoring.
In
this
work,
we
developed
the
core–shell
biocompatible
Cs2InCl5(H2O)@PVDF-HFP
nanofibers
(CIC@HFP
NFs)
by
one-step
electrospinning
assisted
self-assembly
method
triboelectric
nanogenerators
(TENGs).
By
adopting
lead-free
Cs2InCl5(H2O)
as
an
inducer,
CIC@HFP
NFs
exhibited
β-phase-enhanced
self-aligned
nanocrystals
within
uniaxial
direction.
interface
interaction
was
further
investigated
experimental
measurements
molecular
dynamics,
revealed
hydrogen
bonds
between
PVDF-HFP
induced
automatically
well-aligned
dipoles
stabilized
β-phase
NFs.
TENG
fabricated
using
nylon-6,6
significant
improvement
output
voltage
(681
V),
current
(53.1
μA)
peak
density
(6.94
W
m–2),
with
highest
reported
performance
among
TENGs
based
on
halide-perovskites.
energy
harvesting
monitoring
were
substantiated
human
motions,
showcasing
its
ability
to
charge
capacitors
effectively
operate
such
commercial
LEDs,
stopwatches,
calculators,
demonstrating
promising
application
biomechanical
sensing.
Nano Letters,
Journal Year:
2024,
Volume and Issue:
24(25), P. 7809 - 7818
Published: June 14, 2024
Noncontact
sensing
technology
serves
as
a
pivotal
medium
for
seamless
data
acquisition
and
intelligent
perception
in
the
era
of
Internet
Things
(IoT),
bringing
innovative
interactive
experiences
to
wearable
human–machine
interaction
networks.
However,
pervasive
limitations
current
noncontact
devices
posed
by
harsh
environmental
conditions
hinder
precision
stability
signals.
In
this
study,
triboelectric
nanopaper
prepared
phase-directed
assembly
strategy
is
presented,
which
possesses
low
charge
transfer
mobility
(1618
cm2
V–1
s–1)
exceptional
high-temperature
stability.
Wearable
self-powered
sensors
constructed
from
operate
stably
under
high
temperatures
(200
°C).
Furthermore,
temperature
warning
system
workers
hazardous
environments
demonstrated,
capable
nonintrusively
identifying
harmful
thermal
stimuli
detecting
motion
status.
This
research
not
only
establishes
technological
foundation
accurate
stable
but
also
promotes
sustainable
development
IoT
extreme
environments.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(17), P. 9899 - 9948
Published: Aug. 28, 2024
Electronic
skins
(e-skins)
have
seen
intense
research
and
rapid
development
in
the
past
two
decades.
To
mimic
capabilities
of
human
skin,
a
multitude
flexible/stretchable
sensors
that
detect
physiological
environmental
signals
been
designed
integrated
into
functional
systems.
Recently,
researchers
increasingly
deployed
machine
learning
other
artificial
intelligence
(AI)
technologies
to
neural
system
for
processing
analysis
sensory
data
collected
by
e-skins.
Integrating
AI
has
potential
enable
advanced
applications
robotics,
healthcare,
human–machine
interfaces
but
also
presents
challenges
such
as
diversity
model
robustness.
In
this
review,
we
first
summarize
functions
features
e-skins,
followed
feature
extraction
different
models.
Next,
discuss
utilization
design
e-skin
address
key
topic
implementation
e-skins
accomplish
range
tasks.
Subsequently,
explore
hardware-layer
in-skin
before
concluding
with
an
opportunities
various
aspects
AI-enabled
