Processes,
Journal Year:
2025,
Volume and Issue:
13(4), P. 1041 - 1041
Published: March 31, 2025
This
study
investigates
the
use
of
surface
electromyography
(sEMG)
sensors
in
measuring
muscle
activity
and
mapping
it
onto
wearable
textile
stretch
using
a
basic
deep
learning
model,
Multi-Layer
Perceptron
(MLP).
Wearable
are
gaining
attention
for
their
ability
to
monitor
physiological
data
while
maintaining
user
comfort.
A
three-stage
experimental
approach
was
employed
evaluate
process.
In
first
stage,
impact
applying
low-pass
finite
impulse
response
(FIR)
filter
assessed
by
comparing
filtered
unfiltered
sEMG
data.
The
results
showed
minimal
on
accuracy
(R-squared
~
0.77),
as
RMS
preprocessing
effectively
reduced
noise.
second
adding
tensile
velocity
improved
model’s
predictive
performance
0.80),
emphasizing
importance
integrating
dynamic
variables.
third
from
multiple
groups,
including
biceps
brachii,
forearm
muscles,
triceps
were
incorporated,
achieving
highest
R-squared
value
~0.94.
These
findings
establish
reliable
tools
monitoring
during
exercise.
By
demonstrating
with
MLP
this
provides
foundation
advancing
health
systems
exploring
additional
parameters
activities.
SusMat,
Journal Year:
2024,
Volume and Issue:
4(3)
Published: May 27, 2024
Abstract
Spider
silk,
possessing
exceptional
combination
properties,
is
classified
as
a
bio‐gel
fiber.
Thereby,
it
serves
valuable
origin
of
inspiration
for
the
advancement
various
artificial
gel
fiber
materials
with
distinct
functionalities.
Gel
fibers
exhibit
promising
potential
utilization
in
diverse
fields,
including
smart
textiles,
muscle,
tissue
engineering,
and
strain
sensing.
However,
there
are
still
numerous
challenges
improving
performance
functionalizing
applications
spider
silk‐inspired
fibers.
Thus,
to
gain
penetrating
insight
into
bioinspired
fibers,
this
review
provided
comprehensive
overview
encompassing
three
key
aspects:
fundamental
design
concepts
implementing
strategies
properties
strengthening
functionalities
application
prospects
In
particular,
multiple
toughening
mechanisms
were
introduced
at
micro,
nano,
molecular‐level
structures
Additionally,
existing
summarized.
This
aims
offer
significant
guidance
development
inspire
further
research
field
high‐performance
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(37), P. 49845 - 49855
Published: Sept. 9, 2024
Wearable
strain
sensors
play
a
pivotal
role
in
real-time
human
motion
detection
and
health
monitoring.
Traditional
fabric-based
sensors,
typically
with
positive
Poisson's
ratio,
face
challenges
maintaining
sensitivity
comfort
during
due
to
conflicting
resistance
changes
different
directions.
In
this
work,
high-performance
stretchable
are
developed
based
on
graphene-modified
auxetic
fabrics
(GMAF)
for
smart
wearable
devices.
The
proposed
GMAF
negative
ratio
achieved
through
commercially
available
warp-knitting
technology,
exhibit
an
8-fold
improvement
compared
conventional
plain
fabric
sensors.
unique
structure
enhances
by
synchronizing
both
wale
course
demonstrate
excellent
washability,
showing
only
slight
degradation
auxeticity
acceptable
increase
after
10
standard
wash
cycles.
maintain
stability
under
levels
various
frequencies,
emphasizing
their
dynamic
performance.
superior
conformability
joint
movements,
which
effectively
monitor
full
range
of
motions,
including
bending,
sports
activities,
subtle
actions
like
coughing
swallowing.
research
underscores
promising
approach
achieve
industrial-scale
production
improved
performance
design.
C – Journal of Carbon Research,
Journal Year:
2023,
Volume and Issue:
9(4), P. 108 - 108
Published: Nov. 14, 2023
Flexible
and
wearable
electronics
have
attracted
significant
attention
for
their
potential
applications
in
human
health
monitoring,
care
systems,
various
industrial
sectors.
The
exploration
of
strain
sensors
diverse
application
scenarios
is
a
global
issue,
shaping
the
future
our
intelligent
community.
However,
current
state-of-the-art
still
encounter
challenges,
such
as
susceptibility
to
interference
under
humid
conditions
vulnerability
chemical
mechanical
fragility.
Carbon
materials
offer
promising
solution
due
unique
advantages,
including
excellent
electrical
conductivity,
intrinsic
structural
flexibility,
lightweight
nature,
high
thermal
stability,
ease
functionalization,
mass
production.
Carbon-based
materials,
carbon
nanotubes,
graphene,
nanodiamond,
been
introduced
with
robustness,
well
water
repellency
functionality.
This
review
reviewed
ability
nanotubes-,
graphene-,
nanodiamond-based
withstand
extreme
conditions,
sensitivity,
durability,
response
time,
applications,
strain/pressure
sensors,
temperature/humidity
power
devices.
discussion
highlights
features
advantages
offered
by
these
sensing
applications.
Additionally,
this
outlines
existing
challenges
field
identifies
opportunities
further
advancement
innovation.
