Nanoscale Advances,
Journal Year:
2022,
Volume and Issue:
5(3), P. 538 - 570
Published: Nov. 7, 2022
This
review
summarizes
the
integration
of
machine
learning
with
surface-enhanced
Raman
scattering
and
infrared
absorption
in
terms
concepts,
processes,
applications,
provides
an
outlook
on
future
development
this
technology.
Advanced Functional Materials,
Journal Year:
2020,
Volume and Issue:
31(11)
Published: Dec. 29, 2020
Abstract
In
comparison
to
traditional
bulky
and
rigid
electronic
devices,
the
human–machine
interaction
(HMI)
system
with
flexible
wearable
components
is
an
inevitable
future
trend.
To
achieve
effective,
intuitive,
seamless
manipulation
of
high‐performance
HMI
systems,
it
important
develop
effective
strategies
for
designing
material
microstructures
on
sensors
electric
devices
excellent
mechanical
flexibility
stretchability.
The
real‐time
acquisition
human
physiology
surrounding
signals
through
accurate
basis
HMIs.
Herein,
construction
a
that
utilizes
sensors,
communication
modes,
actuators
reviewed.
mechanisms
various
based
different
are
analyzed
discussed.
functional
mechanism,
selection,
novel
design
each
part
summarized
in
detail.
modes
interactive
systems
manufacturing
technology
soft
machines
also
introduced.
Additionally,
most
advanced
applications
intelligent
identification
security,
controls
robots,
augmented
reality,
virtual
reality
have
been
highlighted.
review
concludes
overview
remaining
key
challenges
several
ideas
regarding
further
improvement
systems.
Advanced Intelligent Systems,
Journal Year:
2022,
Volume and Issue:
4(7)
Published: March 29, 2022
With
the
development
of
5G
and
Internet
Things
(IoT),
era
big
data‐driven
product
design
is
booming.
In
addition,
artificial
intelligence
(AI)
also
emerging
evolving
by
recent
breakthroughs
in
computing
power
software
architectures.
this
regard,
digital
twin,
analyzing
various
sensor
data
with
help
AI
algorithms,
has
become
a
cutting‐edge
technology
that
connects
physical
virtual
worlds,
which
sensors
are
highly
desirable
to
collect
environmental
information.
However,
although
existing
technologies,
including
cameras,
microphones,
inertial
measurement
units,
etc.,
widely
used
as
sensing
elements
for
applications,
high‐power
consumption
battery
replacement
them
still
problem.
Triboelectric
nanogenerators
(TENGs)
self‐powered
supply
feasible
platform
realizing
self‐sustainable
low‐power
systems.
Herein,
progress
on
TENG‐based
intelligent
systems,
is,
wearable
electronics,
robot‐related
smart
homes,
followed
prospective
future
enabled
fusion
technology,
focused
on.
Finally,
how
apply
systems
IoT
discussed.
Microsystems & Nanoengineering,
Journal Year:
2021,
Volume and Issue:
7(1)
Published: March 17, 2021
A
self-powered
system
based
on
energy
harvesting
technology
can
be
a
potential
candidate
for
solving
the
problem
of
supplying
power
to
electronic
devices.
In
this
review,
we
focus
portable
and
wearable
systems,
starting
with
typical
technology,
introduce
systems
sensing
functions.
addition,
demonstrate
in
actuation
functions
development
toward
intelligent
under
support
information
processing
artificial
intelligence
technologies.
Advanced Science,
Journal Year:
2021,
Volume and Issue:
9(4)
Published: Nov. 19, 2021
Gait
and
waist
motions
always
contain
massive
personnel
information
it
is
feasible
to
extract
these
data
via
wearable
electronics
for
identification
healthcare
based
on
the
Internet
of
Things
(IoT).
There
also
remains
a
demand
develop
cost-effective
human-machine
interface
enhance
immersion
during
long-term
rehabilitation.
Meanwhile,
triboelectric
nanogenerator
(TENG)
revealing
its
merits
in
both
IoT
tends
be
possible
solution.
Herein,
authors
present
TENG-based
devices
gait
analysis
motion
capture
intelligence
performance
lower-limb
Four
sensors
are
equidistantly
sewed
onto
fabric
belt
recognize
motion,
enabling
real-time
robotic
manipulation
virtual
game
immersion-enhanced
training.
The
insole
equipped
with
two
TENG
designed
walking
status
detection
98.4%
accuracy
five
different
humans
aiming
at
rehabilitation
plan
selection
achieved
by
leveraging
machine
learning
technology
further
analyze
signals.
Through
robot,
demonstrate
that
sensory
system
performs
well
user
recognition,
monitoring,
as
robot
gaming-aided
training,
showing
potential
IoT-based
smart
applications.
Advanced Science,
Journal Year:
2022,
Volume and Issue:
9(10)
Published: Jan. 31, 2022
Abstract
Rapid
advances
in
wearable
electronics
and
mechno‐sensational
human–machine
interfaces
impose
great
challenges
developing
flexible
deformable
tactile
sensors
with
high
efficiency,
ultra‐sensitivity,
environment‐tolerance,
self‐sustainability.
Herein,
a
hydrogel
sensor
(THS)
based
on
micro‐pyramid‐patterned
double‐network
(DN)
ionic
organohydrogels
to
detect
subtle
pressure
changes
by
measuring
the
variations
of
triboelectric
output
signal
without
an
external
power
supply
is
reported.
By
first
time
pyramidal‐patterned
fabrication
method
laminated
polydimethylsiloxane
(PDMS)
encapsulation
process,
self‐powered
THS
shows
advantages
remarkable
flexibility,
good
transparency
(≈85%),
excellent
sensing
performance,
including
extraordinary
sensitivity
(45.97
mV
Pa
−1
),
fast
response
(≈20
ms),
very
low
limit
detection
(50
Pa)
as
well
stability
(36
000
cycles).
Moreover,
LiBr
immersion
treatment
method,
possesses
long‐term
hyper
anti‐freezing
anti‐dehydrating
properties,
broad
environmental
tolerance
(−20
60
°C),
instantaneous
peak
density
20
µW
cm
−2
,
providing
reliable
contact
outputs
different
materials
detecting
slight
human
motions.
integrating
acquisition/process
circuit,
self‐power
ability
utilized
switching
button
control
electric
appliances
robotic
hands
simulating
finger
gestures,
offering
its
potentials
for
multi‐functional
electronic
applications.
Advanced Energy Materials,
Journal Year:
2022,
Volume and Issue:
13(1)
Published: Nov. 18, 2022
Abstract
The
advancement
of
the
Internet
Things/5G
infrastructure
requires
a
low‐cost
ubiquitous
sensory
network
to
realize
an
autonomous
system
for
information
collection
and
processing,
aiming
at
diversified
applications
ranging
from
healthcare,
smart
home,
industry
4.0
environmental
monitoring.
triboelectric
nanogenerator
(TENG)
is
considered
most
promising
technology
due
its
self‐powered,
cost‐effective,
highly
customizable
advantages.
Through
use
wearable
electronic
devices,
advanced
TENG
developed
as
core
enabling
self‐powered
sensors,
power
supplies,
data
communications
aforementioned
applications.
In
this
review,
advancements
TENG‐based
electronics
regarding
materials,
material/device
hybridization,
systems
integration,
convergence,
in
environment
monitoring,
transportation,
homes
toward
future
green
earth
are
reported.
IEEE Access,
Journal Year:
2021,
Volume and Issue:
9, P. 39530 - 39549
Published: Jan. 1, 2021
The
rapid
growth
of
the
Internet
Things
(IoT)
has
accelerated
strong
interests
in
development
low-power
wireless
sensors.Today,
sensors
are
integrated
within
IoT
systems
to
gather
information
a
reliable
and
practical
manner
monitor
processes
control
activities
areas
such
as
transportation,
energy,
civil
infrastructure,
smart
buildings,
environment
monitoring,
healthcare,
defense,
manufacturing,
production.The
long-term
self-sustainable
operation
these
devices
must
be
considered
early
on
when
they
designed
implemented.Traditionally,
have
often
been
powered
by
batteries,
which,
despite
allowing
low
overall
system
costs,
can
negatively
impact
lifespan
performance
entire
network
used
in.Energy
Harvesting
(EH)
technology
is
promising
environment-friendly
solution
that
extends
lifetime
sensors,
and,
some
cases
completely
replaces
use
battery
power.In
addition,
energy
harvesting
offers
economic
advantages
through
optimal
provisioning
lower
maintenance
costs.We
review
recent
advances
techniques
for
IoT.We
demonstrate
two
using
case
studies.Finally,
we
discuss
future
research
challenges
addressed
enable
large-scale
deployment
solutions
environments.
Advanced Science,
Journal Year:
2021,
Volume and Issue:
8(14)
Published: May 26, 2021
Rapid
advancements
of
artificial
intelligence
things
(AIoT)
technology
pave
the
way
for
developing
a
digital-twin-based
remote
interactive
system
advanced
robotic-enabled
industrial
automation
and
virtual
shopping.
The
embedded
multifunctional
perception
is
urged
better
interaction
user
experience.
To
realize
such
system,
smart
soft
robotic
manipulator
presented
that
consists
triboelectric
nanogenerator
tactile
(T-TENG)
length
(L-TENG)
sensor,
as
well
poly(vinylidene
fluoride)
(PVDF)
pyroelectric
temperature
sensor.
With
aid
machine
learning
(ML)
data
processing,
fusion
T-TENG
L-TENG
sensors
can
automatic
recognition
grasped
objects
with
accuracy
97.143%
28
different
shapes
objects,
while
distribution
also
be
obtained
through
By
leveraging
IoT
(AI)
analytics,
shop
successfully
implemented
to
provide
users
real-time
feedback
about
details
product.
In
general,
by
offering
more
immersive
experience
in
human-machine
interactions,
proposed
shows
great
potential
being
interface
applications
unmanned
working
space.
Nano-Micro Letters,
Journal Year:
2022,
Volume and Issue:
15(1)
Published: Dec. 20, 2022
In
the
era
of
5G
and
Internet
things
(IoTs),
various
human-computer
interaction
systems
based
on
integration
triboelectric
nanogenerators
(TENGs)
IoTs
technologies
demonstrate
feasibility
sustainable
self-powered
functional
systems.
The
rapid
development
intelligent
applications
TENGs
mainly
relies
supplying
harvested
mechanical
energy
from
surroundings
implementing
active
sensing,
which
have
greatly
changed
way
human
production
daily
life.
This
review
introduced
TENG
in
multidiscipline
scenarios
IoTs,
including
smart
agriculture,
industry,
city,
emergency
monitoring,
machine
learning-assisted
artificial
intelligence
applications.
challenges
future
research
directions
toward
also
been
proposed.
extensive
developments
will
push
forward
into
an
autonomy
fashion.