Recent advances in nanogenerators for wearable electronic devices
Опубликована: Март 1, 2025
The
advancement
of
triboelectric
nanogenerators
(TENGs)
and
piezoelectric
(PENGs)
have
impacted
different
fields
emerging
technological
applications
by
changing
wasted
mechanical
energy
into
useful
electrical
energy.
Specifically,
TENGs
PENGs
contribute
as
a
power
source
for
applications,
such
health
fitness
real-time
monitoring
therapeutic
interventions
flexible
smart
fabric
wearable
devices
variety
also
to
intelligent
transportation
security
including
vehicle
safety
systems
IoT-based
feedback
alerts.
Furthermore,
it
highlights
environmental
air
quality
purification.
This
Review
introduces
recent
advancements
in
TENGs,
PENGs,
hybrid
NGs
introducing
structural
designs,
working
mechanisms,
device
materials,
output
power,
diverse
applications.
With
the
growth
miniaturization
material
discipline,
offer
innovative
solutions
sustainability
off-grid
electronics.
Future
research
should
emphasize
increasing
conversion
efficiencies,
durability,
washability
facilitate
self-powered
Язык: Английский
Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review
Nano Trends,
Год журнала:
2025,
Номер
unknown, С. 100086 - 100086
Опубликована: Фев. 1, 2025
Язык: Английский
Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 12, 2025
With
the
increasing
development
of
metaverse
and
human-computer
interaction
(HMI)
technologies,
artificial
intelligence
(AI)
applications
in
virtual
reality
(VR)
environments
are
receiving
significant
attention.
This
study
presents
a
self-sensing
facial
recognition
mask
(FRM)
utilizing
triboelectric
nanogenerators
(TENG)
machine
learning
algorithms
to
enhance
user
immersion
interaction.
Various
TENG
negative
electrode
materials
evaluated
improve
sensor
performance,
efficacy
single
is
confirmed.
For
accurate
movement
emotion
detection,
different
assessed,
leading
selection
an
advanced
data
processing
method
with
two-layer
long
short-term
memory
model,
which
achieves
99.87%
accuracy.
The
practical
FRM
system
reality,
including
psychotherapy
HMI
scenarios,
validated
through
mathematical
models.
Additionally,
digital
twin-based
monitoring
platform
developed
using
5G,
database,
visualization
technologies
oversee
status.
Overall,
these
innovative
approaches
overcome
limitations
existing
face
environmental
interference
high
cost,
compared
other
technologies.
Язык: Английский
A high recognition accuracy tactile sensor based on boron nitride nanosheets/epoxy composites for material identification
Materials Horizons,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Boron
nitride
nanosheets/waterborne
epoxy
composites
were
used
as
friction
layers
for
TENG
devices
to
identify
materials
with
strong
electrophilicity,
achieving
a
static
identification
accuracy
of
100%
8
types
negative
materials.
Язык: Английский
Liquid metal modified all-nanofiber triboelectric nanogenerator for energy harvesting and multi-functional self-powered sensing
Chemical Engineering Journal,
Год журнала:
2025,
Номер
unknown, С. 164372 - 164372
Опубликована: Июнь 1, 2025
Язык: Английский
Scale Production of a Stretchable Fiber Triboelectric Nanogenerator in Customizable Textile for Human Motion Recognition
ACS Applied Materials & Interfaces,
Год журнала:
2024,
Номер
16(47), С. 65348 - 65357
Опубликована: Ноя. 15, 2024
Although
the
fiber-based
triboelectric
nanogenerator
(F-TENG)
has
been
recognized
as
one
of
most
promising
flexible
sensor
systems,
it
is
facing
a
challenge
balancing
performance
and
processing
scalability.
Herein,
we
develop
hierarchical
coaxial
F-TENG
possessing
PU
layer,
Ag
PA
layer
from
core
to
outer
part
by
an
efficient
straightforward
two-step
braiding
method.
Owning
small
diameter
1
mm,
presents
high
linear
sensing
response,
wide
working
range
5
150
kPa,
quick
reaction
speed
around
200
ms.
In
addition,
shows
flexibility,
cyclic
washability,
superior
mechanical
stability.
Furthermore,
customizable
textiles
(e.g.,
wrist
support
socks)
that
conform
perfectly
human
body
have
knitted
F-TENGs
warps
or
wefts,
which
are
able
monitor
motion
signals.
Together
with
optimized
machine
learning
algorithm,
five
motions
(stand,
slow
walk,
normal
run,
jump)
can
be
analyzed
precision
up
99%.
short,
this
work
scalable
approach
self-powered
textiles,
offering
excellent
wearable
digital
platform/system
for
potential
capture/monitoring,
identification,
smart-sports-related
applications.
Язык: Английский