ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(45), С. 62803 - 62816
Опубликована: Ноя. 1, 2024
Real-time
monitoring
of
gait
characteristics
is
crucial
for
applications
in
health
monitoring,
patient
rehabilitation
feedback,
and
telemedicine.
However,
the
effective
stable
acquisition
automatic
analysis
information
remain
significant
challenges.
In
this
study,
we
present
a
flexible
sensor
based
on
carbon
nanotube/graphene
composite
conductive
leather
(CGL),
which
uses
collagen
fiber
with
three-dimensional
network
structure
as
substrate.
The
CGL-based
demonstrates
high
dynamic
range,
notable
pressure
responses
ranging
from
0.6
to
14.5
kPa
sensitivity
(S
=
0.2465
kPa–1).
We
further
developed
device
incorporating
collect
foot
characteristic
signals
human
motion
designed
smart
sports
shoes
facilitate
human–computer
interaction.
Machine
learning
was
employed
process
various
states,
including
standing,
sitting,
walking,
falling.
For
real-time
falls,
optimized
K-Nearest
Time
Series
Classifier
(KNTC)
algorithm,
achieving
an
accuracy
0.99
prediction
time
only
13
ms,
highlights
system's
excellent
intelligent
response
capabilities.
system
maintained
recognition
90%
across
diverse
populations,
low
false-positive
(3.3%)
false-negative
rates.
This
work
capabilities
provides
valuable
methods
insights
plantar
behavior
data
analysis,
contributing
development
advanced
systems.
Advanced Materials,
Год журнала:
2024,
Номер
36(31)
Опубликована: Май 17, 2024
Abstract
Electronic
skin
(e‐skin),
a
skin‐like
wearable
electronic
device,
holds
great
promise
in
the
fields
of
telemedicine
and
personalized
healthcare
because
its
good
flexibility,
biocompatibility,
conformability,
sensing
performance.
E‐skin
can
monitor
various
health
indicators
human
body
real
time
over
long
term,
including
physical
(exercise,
respiration,
blood
pressure,
etc.)
chemical
(saliva,
sweat,
urine,
etc.).
In
recent
years,
development
materials,
analysis,
manufacturing
technologies
has
promoted
significant
e‐skin,
laying
foundation
for
application
next‐generation
medical
devices.
Herein,
properties
required
e‐skin
monitoring
devices
to
achieve
long‐term
precise
summarize
several
detectable
field
are
discussed.
Subsequently,
applications
integrated
systems
reviewed.
Finally,
current
challenges
future
directions
this
This
review
is
expected
generate
interest
inspiration
improvement
systems.
RSC Advances,
Год журнала:
2025,
Номер
15(10), С. 7844 - 7854
Опубликована: Янв. 1, 2025
Wearable
sensors
have
emerged
as
a
transformative
technology,
enabling
real-time
monitoring
and
advanced
functionality
in
various
fields,
including
healthcare,
human–machine
interaction,
environmental
sensing.
Materials Futures,
Год журнала:
2024,
Номер
3(2), С. 022501 - 022501
Опубликована: Март 6, 2024
Abstract
Human
skin
perceives
external
environmental
stimulus
by
the
synergies
between
subcutaneous
tactile
corpuscles.
Soft
electronics
with
multiple
sensing
capabilities
mimicking
function
of
human
are
significance
in
health
monitoring
and
artificial
sensation.
The
last
decade
has
witnessed
unprecedented
development
convergence
multimodal
devices
soft
bioelectronics.
Despite
these
advances,
traditional
flexible
achieve
for
pressure,
strain,
temperature,
humidity
integrating
monomodal
together.
This
strategy
results
high
energy
consumption,
limited
integration,
complex
manufacturing
process.
Various
sensors
crosstalk-free
mechanisms
have
been
proposed
to
bridge
gap
natural
sensory
system
perceptual
system.
In
this
review,
we
provide
a
comprehensive
summary
mechanism,
integration
design
principles,
signal-decoupling
strategies,
current
applications
perception.
Finally,
highlight
challenges
present
future
perspectives
promote
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 16, 2024
Abstract
The
measurement
accuracy
of
current
wearable
pulse
sensors
is
grandly
challenged
by
motion
artifacts
caused
body
biomechanical
activities.
In
this
study,
a
honeycomb‐structure‐inspired
sensor
reported
which
not
only
performs
ambulant
cardiovascular
monitoring
but
also
realizes
biometric
authentication
utilizing
the
acquired
individual
wave
profiles.
showcases
an
impressive
sensitivity
46.2
mV
Pa
−1
,
swift
response
time
21
ms,
and
exceptional
durability
(minimal
degradation
after
6000
cycles).
For
practical
application
in
clinical
settings,
able
to
record
signals
continuously
accurately
from
individuals
aged
between
27
57
years,
especially
including
29‐year‐old
pregnant
woman.
Leveraging
deep
learning
algorithms,
further
utilizes
profiles
for
authentication,
reaching
classification
up
99.4%.
marks
significant
advancement
field
authentication.
Advanced Energy and Sustainability Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 2, 2024
Clean
energy
has
emerged
as
the
focal
point
of
global
and
power
development.
With
advancement
5G
technology
Internet
Things
(IoT),
demand
for
sustainable
supply
become
more
pressing,
leading
to
widespread
attention
vibration
harvesting
technology.
This
enables
conversion
vibrational
from
natural
phenomena
such
ocean
waves
wind,
well
machinery
operation
human
activities,
into
electrical
energy,
thus
supporting
expansion
self‐sustained
IoT
systems.
review
provides
an
overview
progress
in
discusses
integration
this
with
self‐powered
sensors
artificial
intelligence.
These
integrations
are
reflected
enhanced
accuracy
environmental
monitoring,
increased
efficiency
intelligent
transportation
industrial
production,
improved
quality
life
through
healthcare
smart
home.
Such
applications
demonstrate
significant
potential
promoting
sustainability
elevating
level
living.
In
summary,
exploring
applying
support
autonomous
devices
is
key
building
a
sustainable,
intelligent,
interconnected
world.
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(49)
Опубликована: Авг. 27, 2024
Abstract
Humans
can
grab
and
identify
objects
by
capturing
the
features
of
physical
shape,
temperature,
material.
However,
creating
artificial
sensors
with
finger‐like
tactile
capabilities
is
challenging
due
to
contradiction
between
structural
compliance
multifunctional
sensing.
Here,
a
sensory
system
for
robot
hand
that
achieve
object
recognition
reported.
The
sensor
simple
horizontal
sensing
structure
respond
strain,
material,
temperature
stimuli
using
piezoresistive,
triboelectric,
thermoelectric
effects.
A
machine
learning
algorithm
train
classify
signals,
enabling
high
accuracy
98.5%
in
recognizing
five
also
developed.
This
work
contributes
development
systems
soft
robotics.
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 8, 2024
Abstract
The
combination
of
fluidity
and
metallic
conductivity
has
attracted
considerable
attention
to
liquid
metal
(LM),
but
its
development
remains
challenging
due
enormous
surface
tension.
Here,
vinyl‐terminated
silicone
oil
platinum
catalyst
are
added
LM
reduce
tension,
which
develops
a
special
type
liquid‐metal‐silicone
(LMS)
ink
with
diffusion
effect.
Combined
an
embedded
three‐dimentional
(3D)
printing
method,
the
LMS
is
printed
on
support
matrix,
diffuses
outward
along
print
path
cure
around
it,
directly
constructing
self‐encapsulated
conductive
composites
excellent
flexible
tactile
sensors
based
triboelectric
nanogenerator
(TENG).
sensor
exhibits
sensitivity
(0.308
V
kPa
−1
),
high
linearity
(≈0.99),
good
durability
(over
10
000
cycles).
Furthermore,
when
used
in
wearable
electronics,
demonstrates
performance
accuracy
≈96%
classifying
different
human
postures
using
convolutional
neural
network.
Finally,
through
3D
ink,
somatosensory
soft
robotic
gripper
complex
cavity
structures
designed
manufactured
one
step,
achieving
all‐in‐one
integration
actuators.
This
study
shows
great
application
potential
electronics
systems.
Biomedicines,
Год журнала:
2024,
Номер
12(10), С. 2307 - 2307
Опубликована: Окт. 11, 2024
E-skin
is
a
bionic
device
with
flexible
and
intelligent
sensing
ability
that
can
mimic
the
touch,
temperature,
pressure,
other
functions
of
human
skin.
Because
its
flexibility,
breathability,
biocompatibility,
characteristics,
it
widely
used
in
health
management,
personalized
medicine,
disease
prevention,
pan-health
fields.
With
proposal
new
principles,
development
advanced
functional
materials,
microfabrication
technology,
integration
artificial
intelligence
algorithms,
e-skin
has
developed
rapidly.
This
paper
focuses
on
fundamentals,
key
technologies,
their
specific
applications
exercise
monitoring,
emotion
heart
etc.
needs
to
have
healthcare
field.
In
addition,
significance
infant
child
care,
elderly
assistive
devices
for
disabled
analyzed.
Finally,
current
challenges
future
directions
field
are
discussed.
It
expected
this
review
will
generate
great
interest
inspiration
improvement
novel
e-skins
monitoring
systems.
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 14, 2024
Abstract
Electronic
skins
(E‐skins)
are
poised
to
revolutionize
human
interaction
not
only
with
one
another
but
also
machines,
electronics,
and
surrounding
environment.
However,
the
wearable
E‐skin
that
simultaneously
offers
multiple
sensing
capabilities,
high
sensitivity,
broad
ranges
remains
a
great
challenge.
Here,
drawing
inspiration
from
haptic
perception,
multimodal,
ultrasensitive,
biomimetic
(MES)
founded
on
micro‐frustum
ionogel
is
developed
based
iontronic
capacitive
triboelectric
effects
for
imaginary
keyboard
multifunctional
cognition.
Leveraging
as
layer
layer,
MES
enables
human‐dermis
perception
performances
of
sensitivity
(357.56
kPa
−1
),
low
limit
detection
(0.47
Pa),
linear
range
(0–500
kPa).
Moreover,
finger
joint
movements
can
be
precisely
monitored
by
attached
transferred
into
accurate
typed
letter
information
an
keyboard.
More
importantly,
harnessing
signal
acquisition/processing
circuits
machine
learning,
real‐time
cognition
different
materials,
surface
roughness,
contact
pressure
achieved
MES,
which
endows
advancement
between
next‐generation
intelligent
robot
physical
Consequently,
proposed
demonstrates
impressive
potentials
in
fields
human–machine
(HMI),
Artificial
Intelligence
(AI).
