ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(45), P. 62803 - 62816
Published: Nov. 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 Healthcare Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 17, 2024
Abstract
The
rapid
advancements
in
artificial
intelligence,
micro‐nano
manufacturing,
and
flexible
electronics
technology
have
unleashed
unprecedented
innovation
opportunities
for
applying
sensors
healthcare,
wearable
devices,
human–computer
interaction.
human
body's
tactile
perception
involves
physical
parameters
such
as
pressure,
temperature,
humidity,
all
of
which
play
an
essential
role
maintaining
health.
Inspired
by
the
sensory
function
skin,
many
bionic
been
developed
to
simulate
skin's
various
stimuli
are
widely
applied
health
monitoring.
Given
urgent
requirements
sensing
performance
integration
field
devices
monitoring,
here
is
a
timely
overview
recent
advances
multi‐functional
It
covers
fundamental
components
categorizes
them
based
on
different
response
mechanisms,
including
resistive,
capacitive,
voltage,
other
types.
Specifically,
application
these
area
monitoring
highlighted.
Based
this,
extended
dual/triple‐mode
integrating
temperature
presented.
Finally,
challenges
discussed.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 28, 2025
Abstract
Neural
biointerfacing,
enabling
direct
communication
between
neural
systems
and
external
devices,
holds
great
promises
for
applications
in
brain
machine
interfaces,
prosthetics,
neuromodulation.
However,
current
electronics
made
of
conventional
rigid
materials
are
challenged
by
their
inherent
mechanical
mismatch
with
the
tissues.
Hydrogel
bioelectronics,
properties
compatible
tissues,
represent
an
alternative
to
these
limitations
enable
next‐generation
biointerfacing
technology.
Here,
overview
cutting‐edge
research
on
conducting
hydrogels
(CHs)
bioelectronics
development,
emphasizing
material
design
principles,
manufacturing
techniques,
essential
requirements,
corresponding
application
scenarios
is
presented.
Future
challenges
potential
directions
regarding
CHs‐based
technologies,
including
long‐term
reliability,
multimodal
hydrogel
closed‐loop
system
wireless
power
supply
system,
raised.
It
believed
that
this
review
will
serve
as
a
valuable
resource
further
advancement
implementation
Foods,
Journal Year:
2025,
Volume and Issue:
14(5), P. 773 - 773
Published: Feb. 24, 2025
Starch-based
nanocomposites
(SNCs)
are
at
the
forefront
of
innovations
in
food
science,
offering
unparalleled
opportunities
for
enhancing
stability,
bioactivity,
and
overall
functionality
systems.
This
review
delves
into
potential
SNCs
to
address
contemporary
challenges
formulation,
focusing
on
synergistic
effects
their
components.
By
integrating
cutting-edge
technologies,
such
as
artificial
intelligence
(AI)
nuclear
magnetic
resonance
(NMR),
we
explore
new
avenues
precision,
predictability,
SNCs.
AI
is
applied
optimize
design
SNCs,
leveraging
predictive
modeling
fine-tune
material
properties
streamline
production
processes.
The
role
NMR
also
critically
examined,
with
particular
emphasis
its
capacity
provide
high-resolution
structural
insights,
monitor
stability
over
time,
elucidate
molecular
interactions
within
matrices.
Through
detailed
examples,
highlights
impact
unraveling
complex
behaviors
bioactive
compounds
encapsulated
Additionally,
discuss
integration
functional
assays
AI-driven
analytics
assessing
bioactivity
sensory
these
systems,
providing
a
robust
framework
rational
advanced
products.
synergy
between
AI,
NMR,
opens
pathways
developing
tailored,
high-performance
formulations
that
both
health
consumer
preferences.
Gels,
Journal Year:
2025,
Volume and Issue:
11(4), P. 232 - 232
Published: March 23, 2025
Human–machine
interfacing
(HMI)
has
emerged
as
a
critical
technology
in
healthcare,
robotics,
and
wearable
electronics,
with
hydrogels
offering
unique
advantages
multifunctional
materials
that
seamlessly
connect
biological
systems
electronic
devices.
This
review
provides
detailed
examination
of
recent
advancements
hydrogel
design,
focusing
on
their
properties
potential
applications
HMI.
We
explore
the
key
characteristics
such
biocompatibility,
mechanical
flexibility,
responsiveness,
which
are
essential
for
effective
long-term
integration
tissues.
Additionally,
we
highlight
innovations
conductive
hydrogels,
hybrid
composite
materials,
fabrication
techniques
3D/4D
printing,
allow
customization
to
meet
demands
specific
HMI
applications.
Further,
discuss
diverse
classes
polymers
contribute
conductivity,
including
conducting,
natural,
synthetic,
polymers,
emphasizing
role
enhancing
electrical
performance
adaptability.
In
addition
material
examine
regulatory
landscape
governing
hydrogel-based
biointerfaces
applications,
addressing
considerations
clinical
translation
commercialization.
An
analysis
patent
insights
into
emerging
trends
shaping
future
technologies
human–machine
interactions.
The
also
covers
range
neural
interfaces,
soft
haptic
systems,
where
play
transformative
Thereafter,
addresses
challenges
face
issues
related
stability,
scalability,
while
perspectives
continued
evolution
technologies.
Polymers for Advanced Technologies,
Journal Year:
2025,
Volume and Issue:
36(4)
Published: April 1, 2025
ABSTRACT
The
rapid
advancement
of
digital
technologies
has
heightened
the
demand
for
multifunctional
smart
materials
with
adaptive
and
responsive
capabilities.
Among
these,
chromogenic
hydrogel
composites
have
emerged
as
promising
candidates
next‐generation
applications
due
to
their
unique
stimuli‐responsive
behavior.
These
hydrogels
exhibit
dynamic
optical
changes
in
response
external
triggers
such
light,
temperature,
pH,
humidity,
mechanical
stress,
electric
or
magnetic
fields,
enabling
a
wide
range
functionalities
data
storage,
security,
authentication,
anti‐counterfeiting
technologies.
This
review
provides
comprehensive
examination
composites,
focusing
on
fundamental
design
principles,
mechanisms,
emerging
systems.
categorizes
these
based
response,
including
photochromic,
hydrochromic,
electrochromic,
magnetochromic,
thermochromic,
tribochromic,
mechanochromic
systems,
analyzing
key
material
compositions
functional
characteristics.
Furthermore,
recent
advances
fabrication
techniques
3D
4D
printing,
self‐healing
networks,
multi‐stimuli‐responsive
are
discussed,
highlighting
potential
programmable
displays,
rewritable
encrypted
security
Finally,
identifies
current
challenges
future
directions
field,
emphasizing
need
enhanced
durability,
faster
times,
improved
integration
insights
presented
this
work
aim
guide
development
innovative
interactive
intelligent
materials.
Accurate
air-writing
recognition
is
pivotal
for
advancing
state-of-the-art
text
recognizers,
encryption
tools,
and
biometric
technologies.
However,
most
existing
systems
rely
on
image-based
sensors
to
track
hand
finger
motion
trajectories.
Additionally,
users'
writing
often
guided
by
delimiters
imaginary
axes
which
restrict
natural
movements.
Consequently,
accuracy
falls
short
of
optimal
levels,
hindering
performance
usability
practical
applications.
Herein,
we
have
developed
an
approach
utilizing
a
one-dimensional
convolutional
neural
network
(1D-CNN)
algorithm
coupled
with
ionic
conductive
flexible
strain
sensor
based
sodium
chloride/sodium
alginate/polyacrylamide
(NaCl/SA/PAM)
dual-network
hydrogel
intelligent
accurate
recognition.
Taking
advantage
the
excellent
characteristics
sensor,
such
as
high
stretchability,
good
tensile
strength,
conductivity,
strong
adhesion,
sensitivity,
alongside
enhanced
analytical
ability
1D-CNN
machine
learning
(ML)
algorithm,
achieved
∼96.3%
in-air
handwritten
characters
English
alphabets.
Furthermore,
comparative
analysis
against
methods,
widely
used
residual
(ResNet)
demonstrates
competitive
our
integrated
system.
The
system
shows
significant
potential
in
innovative
paving
way
exciting
developments
human-machine
interface
(HMI)
