IEEE Transactions on Haptics,
Год журнала:
2023,
Номер
17(3), С. 396 - 404
Опубликована: Дек. 25, 2023
Haptic
temporal
signal
recognition
plays
an
important
supporting
role
in
robot
perception.
This
paper
investigates
how
to
improve
classification
performance
on
multiple
types
of
haptic
datasets
using
a
Transformer
model
structure.
By
analyzing
the
feature
representation
signals,
Transformer-based
two-tower
structural
model,
called
Touchformer,
is
proposed
extract
and
spatial
features
separately
integrate
them
self-attention
mechanism
for
classification.
To
address
characteristics
small
sample
datasets,
data
augmentation
employed
stability
dataset.
Adaptations
overall
architecture
training
optimization
procedures
are
made
robustness
model.
Experimental
comparisons
three
publicly
available
demonstrate
that
Touchformer
significantly
outperforms
benchmark
indicating
our
approach's
effectiveness
providing
new
solution
Nanomaterials,
Год журнала:
2024,
Номер
14(5), С. 465 - 465
Опубликована: Март 4, 2024
Flexible
electronics
is
a
cutting-edge
field
that
has
paved
the
way
for
artificial
tactile
systems
mimic
biological
functions
of
sensing
mechanical
stimuli.
These
have
an
immense
potential
to
enhance
human-machine
interactions
(HMIs).
However,
still
faces
formidable
challenges
in
delivering
precise
and
nuanced
feedback,
such
as
achieving
high
sensitivity
emulate
human
touch,
coping
with
environmental
variability,
devising
algorithms
can
effectively
interpret
data
meaningful
diverse
contexts.
In
this
review,
we
summarize
recent
advances
sensory
systems,
piezoresistive,
capacitive,
piezoelectric,
triboelectric
sensors.
We
also
review
state-of-the-art
fabrication
techniques
Next,
focus
on
applications
HMIs,
intelligent
robotics,
wearable
devices,
prosthetics,
medical
healthcare.
Finally,
conclude
future
development
trends
Sensors,
Год журнала:
2023,
Номер
23(17), С. 7362 - 7362
Опубликована: Авг. 23, 2023
Tactile
sensing
plays
a
pivotal
role
in
achieving
precise
physical
manipulation
tasks
and
extracting
vital
features.
This
comprehensive
review
paper
presents
an
in-depth
overview
of
the
growing
research
on
tactile-sensing
technologies,
encompassing
state-of-the-art
techniques,
future
prospects,
current
limitations.
The
focuses
tactile
hardware,
algorithmic
complexities,
distinct
features
offered
by
each
sensor.
has
special
emphasis
agri-food
relevant
technologies.
It
highlights
key
areas
manipulation,
including
robotic
harvesting,
food
item
feature
evaluation,
such
as
fruit
ripeness
assessment,
along
with
emerging
field
kitchen
robotics.
Through
this
interdisciplinary
exploration,
we
aim
to
inspire
researchers,
engineers,
practitioners
harness
power
technology
for
transformative
advancements
By
providing
understanding
landscape
serves
valuable
resource
driving
progress
its
application
systems.
Journal of Integrative Neuroscience,
Год журнала:
2024,
Номер
23(7)
Опубликована: Июль 5, 2024
This
review
provides
a
comprehensive
examination
of
recent
developments
in
both
neurofeedback
and
brain-computer
interface
(BCI)
within
the
medical
field
rehabilitation.
By
analyzing
comparing
results
obtained
with
various
tools
techniques,
we
aim
to
offer
systematic
understanding
BCI
applications
concerning
different
modalities
input
data
utilized.
Our
primary
objective
is
address
existing
gap
area
meta-reviews,
which
more
outlook
on
field,
allowing
for
assessment
current
landscape
scope
BCI.
main
methodologies
include
meta-analysis,
search
queries
employing
relevant
keywords,
network-based
approach.
We
are
dedicated
delivering
an
unbiased
evaluation
studies,
elucidating
vectors
research
development
this
field.
encompasses
diverse
range
applications,
incorporating
use
interfaces
rehabilitation
treatment
diagnoses,
including
those
related
affective
spectrum
disorders.
encompassing
wide
variety
cases,
perspective
utilization
treatments
across
contexts.
The
structured
organized
presentation
information,
complemented
by
accompanying
visualizations
diagrams,
renders
valuable
resource
scientists
researchers
engaged
domains
biofeedback
interfaces.
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(52)
Опубликована: Сен. 2, 2024
Abstract
Tactile
intent
recognition
systems,
which
are
highly
desired
to
satisfy
human's
needs
and
humanized
services,
shall
be
accurately
understanding
identifying
intent.
They
generally
utilize
time‐driven
sensor
arrays
achieve
high
spatiotemporal
resolution,
however,
encounter
inevitable
challenges
of
low
scalability,
huge
data
volumes,
complex
processing.
Here,
an
event‐driven
touch
(IR
sensor)
with
in‐sensor
computing
capability
is
presented.
The
merit
enables
the
IR
ultrahigh
resolution
obtain
complete
information
intrinsic
concise
data.
It
achieves
critical
signal
extraction
action
trajectories
a
rapid
response
time
0.4
ms
excellent
durability
>10
000
cycles,
bringing
important
breakthrough
tactile
recognition.
Versatile
applications
prove
integrated
functions
for
great
interactive
potential
in
all‐weather
environments
regardless
shading,
dynamics,
darkness,
noise.
Unconscious
even
hidden
features
can
perfectly
extracted
accuracy
98.4%
further
auxiliary
diagnostic
test
demonstrates
practicability
telemedicine
palpation
therapy.
This
groundbreaking
integration
sensing,
reduction,
ultrahigh‐accuracy
will
propel
leapfrog
development
conscious
machine
intelligence.
Journal of Materials Chemistry A,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
review
examines
the
integration
of
artificial
intelligence
with
nanogenerators
to
develop
self-powered,
adaptive
systems
for
applications
in
robotics,
wearables,
and
environmental
monitoring.
Microsystems & Nanoengineering,
Год журнала:
2024,
Номер
10(1)
Опубликована: Янв. 26, 2024
Abstract
In
this
work,
we
propose
porous
fluororubber/thermoplastic
urethane
nanocomposites
(
PFTNs
)
and
explore
their
intrinsic
piezoresistive
sensitivity
to
pressure.
Our
experiments
reveal
that
the
of
PFTN-based
sensor
pressure
up
10
kPa
increases
900%
compared
thermoplastic
nanocomposite
PTN
counterpart
275%
fluororubber
PFN
counterpart.
For
pressures
exceeding
kPa,
resistance-pressure
relationship
PFTN
follows
a
logarithmic
function,
is
221%
125%
higher
than
PFN,
respectively.
With
excellent
thick
film,
single
sensing
unit
with
integrated
electrode
design
can
imitate
human
skin
for
touch
detection,
perception
traction
sensation.
The
range
our
multimodal
tactile
reaches
~150
Pa,
it
exhibits
linear
fit
over
97%
both
normal
shear
force.
We
also
demonstrate
an
electronic
skin,
made
array
units,
capable
accurately
recognizing
complex
interactions
including
pinch,
spread,
tweak
motions.
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 2, 2025
Pathogenic
bacteria
are
the
source
of
many
serious
health
problems,
such
as
foodborne
diseases
and
hospital
infections.
Timely
accurate
detection
these
pathogens
is
vital
significance
for
disease
prevention,
control
epidemic
spread,
protection
public
security.
Rapid
identification
pathogenic
has
become
a
research
focus
in
recent
years.
In
contrast
to
traditional
large-scale
equipment,
fluorescent
sensor
array
developed
this
study
can
detect
within
just
five
min
cost-effective.
The
employs
nitrogen-
sulfur-doped
graphene
quantum
dots
(NS-GQDs)
synthesized
through
simple
hydrothermal
process,
making
it
environmentally
friendly
by
avoiding
toxic
metal
elements.
Functionalized
with
antibiotics,
spectinomycin,
kanamycin,
polymyxin
B,
NS-GQDs
(renamed
S-NS-GQDs,
K-NS-GQDs,
B-NS-GQDs)
exhibit
variable
affinities
different
bacteria,
enabling
broad-spectrum
without
targeting
specific
species.
Upon
binding
fluorescence
intensity
functionalized
decreases
significantly.
exhibits
distinct
responses
bacterial
species,
which
be
distinguished
using
various
machine
learning
algorithms.
results
demonstrate
that
platform
quickly
accurately
identify
quantify
showing
excellent
performance
terms
accuracy,
sensitivity,
stability.
This
makes
promising
tool
great
practical
application
prospects
detection.
