Advanced Materials Technologies,
Год журнала:
2024,
Номер
9(21)
Опубликована: Март 19, 2024
Abstract
Wearable
electronics
with
multi‐functionalities
are
widely
utilized
in
various
domains,
including
everyday
living,
healthcare,
military
training,
and
sports.
Advances
flexible
electronic
technology,
new
materials,
artificial
intelligence
sensor
technology
have
accelerated
the
rapid
development
of
smart
wearable
devices
toward
multifunctional
highly
integrated
trends.
The
energy
supply
based
on
human‐body
harvesting
method
endows
wearable,
sustainable,
renewable,
self‐powered
characteristics,
which
proposes
a
solution
strategy
for
function
expansion
devices.
Herein,
this
paper
discusses
recent
research
methods
human
body
wearing
parts
respectively,
focusing
structures,
processes
involved
representative
studies,
as
well
impact
output,
functional
applications.
Furthermore,
challenges
obstacles
faced
creation
self‐sufficiency
propose
strategies
to
propel
them
order
advance
next
wave
intelligent
also
discussed.
Abstract
Wearable
devices
play
an
indispensable
role
in
modern
life,
and
the
human
body
contains
multiple
wasted
energies
available
for
wearable
devices.
This
study
proposes
a
self‐sensing
self‐powered
system
(SS‐WS)
based
on
scavenging
waist
motion
energy
knee
negative
energy.
The
proposed
SS‐WS
consists
of
three‐degree‐of‐freedom
triboelectric
nanogenerator
(TDF‐TENG)
harvester
(NEH).
TDF‐TENG
is
driven
by
generated
signals
are
processed
deep
learning
recognizing
motion.
can
accurately
recognize
state
after
processing
Gate
Recurrent
Unit
model.
With
double
frequency
up‐conversion,
NEH
recovers
generation
powering
A
model
wearing
single
generate
power
27.01
mW
when
movement
speed
8
km
h
−1
,
density
reaches
0.3
W
kg
at
external
excitation
condition
3
Hz.
Experiments
analysis
prove
that
realize
effectively
Advanced Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 4, 2025
Abstract
Bionic
neural
devices
often
feature
complex
structures
with
multiple
interfaces,
requiring
extensive
post‐processing.
In
this
paper,
a
device
intrinsic
perception
and
decision‐making
(NDIPD),
inspired
by
neuronal
oscillatory
activity
is
introduced.
The
utilizes
alternating
signals
generated
coupling
the
human
body
power‐frequency
electromagnetic
field
as
both
signal
source
energy
source,
mimicking
activity.
peaks
valleys
of
are
differentially
modulated
to
replicate
baseline
shift
process
in
By
comparing
amplitude
NDIPD's
electrical
output
signal,
achieves
regarding
location
mechanical
stimulation.
This
accomplished
using
single
interface,
which
reduces
data
transmission,
simplifies
functionality,
eliminates
need
for
an
external
power
supply.
NDIPD
demonstrates
low‐pressure
detection
limit
(<0.02
N),
fast
response
time
(<20
ms),
exceptional
stability
(>200
000
cycles).
It
shows
great
potential
applications
such
game
control,
UAV
navigation,
virtual
vehicle
driving.
innovative
supply
method
sensing
mechanism
expected
open
new
avenues
development
bionic
devices.
Advanced Energy Materials,
Год журнала:
2023,
Номер
13(47)
Опубликована: Ноя. 1, 2023
Abstract
With
the
rapid
development
of
Internet
Things
(IoTs),
numerous
distributed
wide‐area
low‐power
electronic
devices
have
been
utilized
in
various
fields,
such
as
wireless
monitoring
sensors
and
wearable
electronics.
Due
to
dispersion
mobility
microelectronic
devices,
their
energy
supply
faces
serious
challenges.
The
inconvenience
non‐environmental
friendliness
using
traditional
centralized
low
entropy
chemical
batteries
power
are
becoming
increasingly
prominent.
Environmental
harvesting
technology
with
high
characteristics
is
considered
an
effective
solution
for
devices.
This
paper
comprehensively
reviews
recent
progress
technologies
based
on
signal
sensing.
First,
state‐of‐the‐art
micro‐power
humans,
animals,
environment
introduced.
Secondly,
available
micro‐energy
sources
environmentare
elaborated
summarized.
Then,
principles
ambient
microenergy
different
mechanisms
classified,
summarized,
analyzed.
In
addition,
this
work
summarizes
applications
self‐powered
micro‐electronics
11
including
human,
animal,
environment.
Finally,
research
challenges,
technical
difficulties,
gaps
microelectronics
discussed
Nanomaterials,
Год журнала:
2024,
Номер
14(2), С. 165 - 165
Опубликована: Янв. 12, 2024
The
advancement
of
the
Internet
Things
(IoT)
has
increased
demand
for
large-scale
intelligent
sensing
systems.
periodic
replacement
power
sources
ubiquitous
systems
leads
to
significant
resource
waste
and
environmental
pollution.
Human
staffing
costs
associated
with
also
increase
economic
burden.
triboelectric
nanogenerators
(TENGs)
provide
both
an
energy
harvesting
scheme
possibility
self-powered
sensing.
Based
on
contact
electrification
from
different
materials,
TENGs
a
rich
material
selection
collect
complex
diverse
data.
As
data
collected
by
become
increasingly
numerous
complex,
approaches
machine
learning
(ML)
deep
(DL)
algorithms
have
been
proposed
efficiently
process
output
signals.
In
this
paper,
latest
advances
in
ML
assisting
solid-solid
TENG
liquid-solid
sensors
are
reviewed
based
sample
size
complexity
pros
cons
various
analyzed
application
scenarios
presented.
prospects
synergizing
hardware
(TENG
sensors)
software
(ML
algorithms)
environment
their
main
challenges
future
developments
discussed.
ACS Applied Nano Materials,
Год журнала:
2024,
Номер
7(8), С. 8407 - 8423
Опубликована: Апрель 4, 2024
Triboelectric
nanogenerators
(TENGs)
developed
from
eco-friendly
natural
materials
rather
than
traditional
electronic
are
more
favorable
for
biocompatible
applications
and
use
in
sustainable
life-cycle
analysis.
Silk
fibroin
(SF)
has
emerged
as
an
abundant
biomaterial
that
shows
great
potential
the
preparation
of
TENGs.
Silk-based
triboelectric
(SF-TENGs)
have
green
energy
harvesting
properties,
environmentally
friendly,
biocompatible,
not
fully
present
conventional
TENGs,
important
next
generation
self-powered
devices.
In
this
review,
latest
progress
SF-TENGs,
including
their
applied
materials,
structural
manufacturing
processes,
application
scenarios,
is
discussed.
These
SF-TENGs
show
emerging
well
smart
living
medical
assistance.
addition,
value
been
further
explored,
possibility
main
challenges
expanding
applying
to
field
microneedles
(MNs)
