Advanced Energy Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 10, 2024
Abstract
In
the
era
of
Internet
Things
(IoT)
and
Artificial
Intelligence
(AI),
sensors
have
become
an
integral
part
intelligent
systems.
Although
traditional
sensing
technology
is
very
mature
in
long‐term
development,
there
are
remaining
defects
limitations
that
make
it
difficult
to
meet
growing
demands
current
applications,
such
as
high‐sensitivity
detection
self‐supplied
sensing.
As
a
new
type
sensor,
array
triboelectric
nanogenerators
(TENG)‐based
tactile
can
respond
wide
dynamic
range
mechanical
stimuli
surrounding
environment
converting
them
into
quantifiable
electrical
signals,
thus
realizing
real‐time
The
structure
allows
for
fine
delineation
area
improved
spatial
resolution,
resulting
accurate
localization
quantification
detected
been
widely
used
wearable
devices,
smart
interaction,
medical
health
detection,
other
fields.
this
paper,
latest
research
progress
functional
based
on
arrayed
systematically
reviewed
from
aspects
working
mechanism,
material
selection,
processing,
structural
design,
integration,
application.
Finally,
challenges
faced
by
summarized
with
view
providing
inspiration
guidance
future
development
sensors.
Frontiers in Physiology,
Год журнала:
2024,
Номер
15
Опубликована: Фев. 21, 2024
Human
activity
recognition
(HAR)
plays
a
pivotal
role
in
various
domains,
including
healthcare,
sports,
robotics,
and
security.
With
the
growing
popularity
of
wearable
devices,
particularly
Inertial
Measurement
Units
(IMUs)
Ambient
sensors,
researchers
engineers
have
sought
to
take
advantage
these
advances
accurately
efficiently
detect
classify
human
activities.
This
research
paper
presents
an
advanced
methodology
for
localization
recognition,
utilizing
smartphone
IMU,
Ambient,
GPS,
Audio
sensor
data
from
two
public
benchmark
datasets:
Opportunity
dataset
Extrasensory
dataset.
The
was
collected
12
subjects
participating
range
daily
activities,
it
captures
body-worn
object-associated
sensors.
features
60
participants,
thousands
samples
smartwatch
labeled
with
wide
array
Our
study
incorporates
novel
feature
extraction
techniques
signal,
audio
data.
Specifically,
localization,
audio,
IMU
sensors
are
utilized,
while
employed
locomotion
recognition.
To
achieve
accurate
classification,
state-of-the-art
deep
learning
techniques,
such
as
convolutional
neural
networks
(CNN)
long
short-term
memory
(LSTM),
been
explored.
For
indoor/outdoor
CNNs
applied,
LSTMs
utilized
proposed
system
has
evaluated
using
k-fold
cross-validation
method,
achieving
accuracy
rates
97%
89%
over
datasets,
respectively,
96%
These
results
highlight
efficiency
our
detecting
showing
its
potential
real-world
applications.
Moreover,
introduces
hybrid
that
combines
machine
features,
enhancing
performance
by
leveraging
strengths
both
approaches.
IEEE Robotics and Automation Letters,
Год журнала:
2024,
Номер
9(6), С. 5417 - 5424
Опубликована: Апрель 16, 2024
This
paper
introduces
a
novel
bistable
origami
flexible
gripper,
which
is
based
on
single-vertex
and
multi-crease
(SVMC)
structure
that
has
sxeveral
advantages,
including
simple
structure,
low
cost,
strong
deformation
capacity.
design
addresses
the
drawbacks
of
slow
response
speed
grasping
efficiency
in
traditional
gripper
models.
The
established
using
waterbomb
model,
relationship
between
crease
angles
analyzed
by
applying
geometric
spherical
triangle
to
establish
kinematic
equations.
Additionally,
potential
energy
equations
SVMC
are
derived
torsion
spring
parameters
determined
conducting
detailed
analysis
influence
length
initial
angle
storage
release
processes.
In
addition,
tendon
drive
system
helps
provide
greater
force,
promoting
efficient
stable
target
when
return
state.
Experimental
results
show
subjected
an
external
trigger
force
2.65N,
can
transition
from
spreading
attitude
contracted
state
within
61.58ms,
enabling
rapid
envelopment
target,
dropping
returning
120ms.
These
findings
suggest
proposed
significant
application
high-speed
food
sorting
fruit
picking.
Abstract
Conductive
hydrogels
(CHs)
have
received
significant
attention
for
use
in
wearable
devices
because
they
retain
their
softness
and
flexibility
while
maintaining
high
conductivity.
CHs
are
well
suited
applications
skin‐contact
electronics
biomedical
owing
to
biocompatibility
conformality.
Although
highly
conductive
smart
extensively
researched,
a
detailed
summary
of
the
outstanding
results
is
required
comprehensive
understanding.
In
this
review,
recent
progress
preparation
fabrication
summarized
devices.
Improvements
mechanical,
electrical,
functional
properties
high‐performance
also
discussed.
Furthermore,
examples
innovative
based
on
that
can
be
seamlessly
integrated
into
daily
lives
reviewed.
Abstract
Over
the
past
decades,
tactile
sensing
technology
has
made
significant
advances
in
fields
of
health
monitoring
and
robotics.
Compared
to
conventional
sensors,
self‐powered
sensors
do
not
require
an
external
power
source
drive,
which
makes
entire
system
more
flexible
lightweight.
Therefore,
they
are
excellent
candidates
for
mimicking
perception
functions
wearable
ideal
electronic
skin
(e‐skin)
intelligent
robots.
Herein,
working
principles,
materials,
device
fabrication
strategies
various
platforms
introduced
first.
Then
their
applications
robotics
presented.
Finally,
future
prospects
systems
discussed.
