Abstract
Wearable
strain
sensors
have
attracted
research
interest
owing
to
their
potential
within
digital
healthcare,
offering
smarter
tracking,
efficient
diagnostics,
and
lower
costs.
Unlike
rigid
sensors,
fiber‐based
ones
compete
with
flexibility,
durability,
adaptability
body
structures
as
well
eco‐friendliness
environment.
Here,
the
sustainable
wearable
for
health
are
reviewed,
material,
fabrication,
practical
healthcare
aspects
explored.
Typical
predicated
on
various
sensing
modalities,
be
it
resistive,
capacitive,
piezoelectric,
or
triboelectric,
explained
analyzed
according
strengths
weaknesses
toward
fabrication
applications.
The
applications
in
spanning
from
area
networks,
intelligent
management,
medical
rehabilitation
multifunctional
systems
also
evaluated.
Moreover,
create
a
more
complete
network,
wired
wireless
methods
of
data
collection
examples
machine
learning
elaborated
detail.
Finally,
prevailing
challenges
prospective
insights
into
advancement
novel
fibers,
enhancement
precision
wearability,
establishment
seamlessly
integrated
critically
summarized
offered.
This
endeavor
not
only
encapsulates
present
landscape
but
lays
foundation
future
breakthroughs
sensor
technology
domain
health.
ACS Nano,
Год журнала:
2024,
Номер
18(26), С. 17041 - 17052
Опубликована: Июнь 21, 2024
Flexible
tactile
sensors
show
promise
for
artificial
intelligence
applications
due
to
their
biological
adaptability
and
rapid
signal
perception.
Triboelectric
enable
active
dynamic
sensing,
while
integrating
static
pressure
sensing
real-time
multichannel
transmission
is
key
further
development.
Here,
we
propose
an
integrated
structure
combining
a
capacitive
sensor
spatiotemporal
mapping
triboelectric
recognition.
A
liquid
metal-based
flexible
dual-mode
triboelectric-capacitive-coupled
(TCTS)
array
of
4
×
pixels
achieves
spatial
resolution
7
mm,
exhibiting
detection
limit
0.8
Pa
fast
response
6
ms.
Furthermore,
neuromorphic
computing
using
the
MXene-based
synaptic
transistor
100%
recognition
accuracy
handwritten
numbers/letters
within
90
epochs
based
on
signals
collected
by
TCTS
array,
cross-spatial
information
communication
from
perceived
data
realized
in
mixed
reality
space.
The
results
illuminate
considerable
application
possibilities
technology
human-machine
interfaces
advanced
robotics.
FlexMat.,
Год журнала:
2024,
Номер
1(1), С. 5 - 22
Опубликована: Апрель 1, 2024
Abstract
Triboelectric
nanogenerators
(TENGs)
have
recently
gained
attention
as
a
compelling
platform
technology
for
building
wearable
bioelectronics.
Aside
from
being
self‐powered,
TENGs
are
lightweight,
low
in
cost,
rich
material
choice,
comfortable
to
wear,
and
increasingly
versatile
with
advances
sensitivity
efficiency.
Due
these
features,
become
appealing
biomedical
sensing
applications,
especially
human
respiration
monitoring.
A
wealth
of
information
can
be
collected
by
breath‐induced
electrical
signals,
which
crucial
the
analysis
patient's
respiratory
condition
early
detection
harmful
respiratory‐linked
diseases.
thus
been
used
continuously
collect
important
data,
breathing
patterns,
flow
rate,
intensity
an
individual's
cycle
chemicals
that
may
present
their
breath.
This
review
paper
provides
overview
recent
developments
TENG‐based
monitoring
well
future
opportunities
challenges
healthcare.
Abstract
Wearable
strain
sensors
have
attracted
research
interest
owing
to
their
potential
within
digital
healthcare,
offering
smarter
tracking,
efficient
diagnostics,
and
lower
costs.
Unlike
rigid
sensors,
fiber‐based
ones
compete
with
flexibility,
durability,
adaptability
body
structures
as
well
eco‐friendliness
environment.
Here,
the
sustainable
wearable
for
health
are
reviewed,
material,
fabrication,
practical
healthcare
aspects
explored.
Typical
predicated
on
various
sensing
modalities,
be
it
resistive,
capacitive,
piezoelectric,
or
triboelectric,
explained
analyzed
according
strengths
weaknesses
toward
fabrication
applications.
The
applications
in
spanning
from
area
networks,
intelligent
management,
medical
rehabilitation
multifunctional
systems
also
evaluated.
Moreover,
create
a
more
complete
network,
wired
wireless
methods
of
data
collection
examples
machine
learning
elaborated
detail.
Finally,
prevailing
challenges
prospective
insights
into
advancement
novel
fibers,
enhancement
precision
wearability,
establishment
seamlessly
integrated
critically
summarized
offered.
This
endeavor
not
only
encapsulates
present
landscape
but
lays
foundation
future
breakthroughs
sensor
technology
domain
health.
