Advanced Intelligent Systems,
Год журнала:
2021,
Номер
4(2)
Опубликована: Сен. 12, 2021
Wearable
human
machine
interfaces
(HMI)
such
as
smart
gloves
have
attracted
considerable
interest
in
recent
years.
The
quality
of
the
interactive
experience
with
real
and
virtual
world
using
wearable
HMI
technologies
depends
on
intuitive
two‐way
haptic
they
offer
real‐time
touch‐based
information
send
receive.
Herein,
various
glove
solutions
their
application
interaction,
rehabilitation,
(VR)
augmented
reality
(AR),
augmentative
alternative
communication
(AAC)
tasks
are
reviewed.
While
early
variants
systems
were
based
commercial
touch
sensors
displays
integrated
(e.g.,
stitched)
wearables,
electronic
skin
(e‐skin)‐type
multifunctional
capabilities
being
explored
nowadays
for
rich
user
comfort.
In
this
regard,
instead
separate
actuators,
miniaturized
devices
providing
both
sensing
vibrotactile
actuation
also
been
reported
recently.
Such
advances,
associated
challenges,
advantages
users
to
enjoy
full
characteristic
benefits
VR/ARs
immersion,
imagination
discussed.
Finally,
huge
potential
smart‐glove‐type
hold
advances
areas
robotics,
health
care,
sensorial
augmentation
nondisabled
tactile
Internet
is
Advanced Functional Materials,
Год журнала:
2020,
Номер
31(11)
Опубликована: Дек. 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.
Nature Communications,
Год журнала:
2020,
Номер
11(1)
Опубликована: Окт. 23, 2020
Designing
efficient
sensors
for
soft
robotics
aiming
at
human
machine
interaction
remains
a
challenge.
Here,
we
report
smart
soft-robotic
gripper
system
based
on
triboelectric
nanogenerator
to
capture
the
continuous
motion
and
tactile
information
gripper.
With
special
distributed
electrodes,
sensor
can
perceive
contact
position
area
of
external
stimuli.
The
gear-based
length
with
stretchable
strip
allows
detection
elongation
via
sequential
each
tooth.
sensory
collected
during
operation
is
further
trained
by
support
vector
algorithm
identify
diverse
objects
an
accuracy
98.1%.
Demonstration
digital
twin
applications,
which
show
object
identification
duplicate
robotic
manipulation
in
virtual
environment
according
real-time
system,
successfully
created
assembly
lines
unmanned
warehouse
applications.
Advanced Materials,
Год журнала:
2021,
Номер
33(17)
Опубликована: Март 24, 2021
Abstract
In
the
new
era
of
Internet‐of‐Things,
athletic
big
data
collection
and
analysis
based
on
widely
distributed
sensing
networks
are
particularly
important
in
development
intelligent
sports.
Conventional
sensors
usually
require
an
external
power
supply,
with
limitations
such
as
limited
lifetime
high
maintenance
cost.
As
a
newly
developed
mechanical
energy
harvesting
self‐powered
technology,
triboelectric
nanogenerator
(TENG)
shows
great
potential
to
overcome
these
limitations.
Most
importantly,
TENGs
can
be
fabricated
using
wood,
paper,
fibers,
polymers,
which
most
frequently
used
materials
for
Recent
progress
field
sports
is
summarized.
First,
working
mechanism
TENG
its
association
introduced.
Subsequently,
TENG‐based
systems,
including
smart
facilities
wearable
equipment
highlighted.
At
last,
remaining
challenges
open
opportunities
also
discussed.
The
rapid
progress
of
Internet
things
(IoT)
technology
raises
an
imperative
demand
on
human
machine
interfaces
(HMIs)
which
provide
a
critical
linkage
between
and
machines.
Using
glove
as
intuitive
low-cost
HMI
can
expediently
track
the
motions
fingers,
resulting
in
straightforward
communication
media
human-machine
interactions.
When
combining
several
triboelectric
textile
sensors
proper
learning
technique,
it
has
great
potential
to
realize
complex
gesture
recognition
with
minimalist-designed
for
comprehensive
control
both
real
virtual
space.
However,
humidity
or
sweat
may
negatively
affect
output
well
itself.
Hence,
this
work,
facile
carbon
nanotubes/thermoplastic
elastomer
(CNTs/TPE)
coating
approach
is
investigated
detail
achieve
superhydrophobicity
performance
improvement.
With
energy
harvesting
motion
sensing
capabilities,
using
superhydrophobic
realizes
self-powered
interface
recognition.
By
leveraging
technology,
various
tasks
are
done
time
by
gestures
highly
accurate
reality/augmented
reality
(VR/AR)
controls
including
gun
shooting,
baseball
pitching,
flower
arrangement,
minimized
effect
from
during
operation.
Nature Communications,
Год журнала:
2021,
Номер
12(1)
Опубликована: Сен. 10, 2021
Sign
language
recognition,
especially
the
sentence
is
of
great
significance
for
lowering
communication
barrier
between
hearing/speech
impaired
and
non-signers.
The
general
glove
solutions,
which
are
employed
to
detect
motions
our
dexterous
hands,
only
achieve
recognizing
discrete
single
gestures
(i.e.,
numbers,
letters,
or
words)
instead
sentences,
far
from
satisfying
meet
signers'
daily
communication.
Here,
we
propose
an
artificial
intelligence
enabled
sign
recognition
system
comprising
sensing
gloves,
deep
learning
block,
virtual
reality
interface.
Non-segmentation
segmentation
assisted
model
achieves
50
words
20
sentences.
Significantly,
approach
splits
entire
signals
into
word
units.
Then
recognizes
all
elements
reversely
reconstructs
Furthermore,
new/never-seen
sentences
created
by
new-order
recombination
can
be
recognized
with
average
correct
rate
86.67%.
Finally,
results
projected
space
translated
text
audio,
allowing
remote
bidirectional
signers
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Сен. 5, 2022
Abstract
Advancements
of
virtual
reality
technology
pave
the
way
for
developing
wearable
devices
to
enable
somatosensory
sensation,
which
can
bring
more
comprehensive
perception
and
feedback
in
metaverse-based
society.
Here,
we
propose
augmented
tactile-perception
haptic-feedback
rings
with
multimodal
sensing
capabilities.
This
highly
integrated
ring
consists
triboelectric
pyroelectric
sensors
tactile
temperature
perception,
vibrators
nichrome
heaters
vibro-
thermo-haptic
feedback.
All
these
components
on
be
directly
driven
by
a
custom
wireless
platform
low
power
consumption
wearable/portable
scenarios.
With
voltage
integration
processing,
high-resolution
continuous
finger
motion
tracking
is
achieved
via
sensor,
also
contributes
superior
performance
gesture/object
recognition
artificial
intelligence
analysis.
By
fusing
functions,
an
interactive
metaverse
cross-space
capability
successfully
achieved,
giving
people
face-to-face
like
immersive
social
experience.
Advanced Intelligent Systems,
Год журнала:
2022,
Номер
4(7)
Опубликована: Март 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,
Год журнала:
2021,
Номер
7(1)
Опубликована: Март 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.
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.
