Recent Advances in Hydrogel‐Based Self‐Powered Artificial Skins for Human–Machine Interfaces
Advanced Intelligent Systems,
Год журнала:
2023,
Номер
5(9)
Опубликована: Июль 8, 2023
With
the
rapid
development
of
artificial
intelligence,
human‐machine
interfaces
(HMI)
are
continuing
to
affect
human
lifestyles.
Artificial
skin
is
a
new
type
HMI
sensor
that
enables
seamless
connection
between
and
electronic
devices.
Currently,
mostly
prepared
from
rigid
materials,
which
lack
flexibility
scalability,
thus
impeding
HMI.
Hydrogel,
consisting
3D
polymer
network
water
similar
tissues
therefore
an
excellent
candidate
for
in
The
conventional
hydrogel‐based
includes
touch
pad
machine
control
based
on
capacitive
or
resistive
sensors.
However,
energy
supply
depends
battery
requires
frequent
recharging
replacement.
Therefore,
self‐powered
expected
become
primary
interaction
medium
forthcoming
generation
This
article
reviews
Various
power
mechanisms
discussed.
materials
introduced,
including
ionic
hydrogel,
ionic‐liquid
metal‐based
carbon‐based
MXene‐based
conductive
polymer‐based
hydrogel.
application
also
reviewed.
Finally,
challenges
trends
outlined.
Язык: Английский
From Sensors to Care: How Robotic Skin Is Transforming Modern Healthcare—A Mini Review
Sensors,
Год журнала:
2025,
Номер
25(9), С. 2895 - 2895
Опубликована: Май 3, 2025
In
recent
years,
robotics
has
made
notable
progress,
becoming
an
essential
component
of
daily
life
by
facilitating
complex
tasks
and
enhancing
human
experiences.
While
most
robots
have
traditionally
featured
hard
surfaces,
the
growing
demand
for
more
comfortable
safer
human–robot
interactions
driven
development
soft
robots.
One
type
robot,
which
incorporates
innovative
skin
materials,
transforms
rigid
structures
into
pliable
adaptive
forms,
making
them
better
suited
interacting
with
humans.
Especially
in
healthcare
rehabilitation,
robotic
technology
gained
substantial
attention,
offering
transformative
solutions
improving
functionality
prosthetics,
exoskeletons,
companion
Although
replicating
sensory
functions
remains
a
challenge,
ongoing
research
focuses
on
developing
sensors
that
mimic
softness
tactile
sensitivity
necessary
effective
interaction.
This
review
provides
narrative
analysis
current
trends
development,
specifically
tailored
rehabilitation
applications,
including
types
sensor
technologies,
challenges,
future
directions
this
rapidly
field.
Язык: Английский
Development of soft dry electrodes: from materials to structure design
Soft Science,
Год журнала:
2023,
Номер
3(3)
Опубликована: Авг. 2, 2023
Bioelectric
signals
reflect
our
daily
physiological
activities,
which
can
be
recorded
in
the
form
of
electroencephalography,
electrocardiography,
electromyography,
etc.
The
traditional
Ag/AgCl
wet
electrode
is
gold
standard
for
clinical
monitoring
bioelectrical
at
present,
while
complicated
preparation
and
gel
evaporation
limit
its
long-term
application.
Therefore,
it
meaningful
to
research
dry
electrodes
without
conductive
paste
or
additional
adhesives.
Unfortunately,
high
interface
impedance
between
skin
a
fatal
defect
electrodes,
leads
excessive
noise
levels
poor
signal
quality.
Consequently,
more
efforts
are
required
achieve
conformal
contact
reduce
impedance.
From
this
perspective,
we
review
recent
progress
capacitive
invasive
microneedle
common-contact
electrodes.
Material
selection
structural
design
obtain
highlighted.
Finally,
propose
future
development
direction
Язык: Английский
Self-Adhesive, Self-Healing, and Water-Soluble Polymeric Dry Electrodes for Robust Physiological Signal Monitoring
ACS Applied Electronic Materials,
Год журнала:
2024,
Номер
6(7), С. 5201 - 5211
Опубликована: Июль 9, 2024
Язык: Английский
A Hybrid CNN-Transformer Approach for Continuous Fine Finger Motion Decoding from sEMG Signals
Опубликована: Июнь 14, 2024
Язык: Английский
A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction
Advanced Intelligent Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 30, 2024
Accurate
recognition
of
human
dynamic
movement
is
essential
for
seamless
human–machine
interaction
(HMI)
across
various
domains.
However,
most
the
existing
methods
are
single‐modal
recognition,
which
has
inherent
limitations,
such
as
limited
feature
representation
and
instability
to
noise,
will
affect
its
practical
performance.
To
address
these
this
article
proposes
a
novel
fusion
approach
that
can
integrate
two
biological
signals,
including
electromyography
(EMG)
bioelectrical
impedance
(BI).
The
method
combines
EMG
capturing
features
BI
discerning
key
postures
representing
discrete
points
within
movements.
In
method,
identification
their
temporal
sequences
provide
guiding
framework
selection
weighted
correction
probability
prediction
matrices
in
EMG‐based
recognition.
verify
effectiveness
six
upper
limb
movements
nine
defined,
Universal
Robot
follow
employed
experimental
validation.
Experimental
results
demonstrate
accuracy
reaches
96.2%,
an
improvement
nearly
10%
compared
with
signal.
This
study
illustrates
potential
multimodal
broad
prospects
application
HMI
fields.
Язык: Английский
Within and between electrophysiology networks for EEG and EMG under different thumb forces
Biomedical Signal Processing and Control,
Год журнала:
2023,
Номер
86, С. 105249 - 105249
Опубликована: Июль 11, 2023
Язык: Английский
AHP-based Design of a Finger Training Device for Stroke
International Journal of Advanced Computer Science and Applications,
Год журнала:
2023,
Номер
14(10)
Опубликована: Янв. 1, 2023
This
study
aims
to
develop
a
stroke
finger
training
device
specifically
for
office
hand
scenes
which
exercises
the
small
muscles
of
fingertips
and
improves
strength
patients.
The
has
real-time
recording
function
muscle
changes
during
enhances
interaction
through
feedback
data,
thereby
improving
effectiveness.
research
involves
analyzing
postures
movements
in
computer
scenes,
designing
questionnaires
obtain
user
requirements,
using
Delphi
analysis
method
screen
key
indicators
form
standards
program
layers.
Analytic
Hierarchy
Process
(AHP)
evaluates
ranks
core
design
elements.
According
elements,
structure
system
are
guided,
prototype
is
built
experimental
testing.
results
show
that
effectively
participants'
strength,
stability,
coordination
helps
restore
function.
AHP
allows
evaluating
ranking
device's
making
more
reasonable
comprehensive.
Overall,
significantly
participants.
Язык: Английский