IEEE Open Journal of the Communications Society,
Год журнала:
2024,
Номер
5, С. 5488 - 5539
Опубликована: Янв. 1, 2024
This
article
discusses
'Metaverse'
from
a
technical
perspective,
focusing
on
networked
systems
aspects.
Based
definition
of
the
'Metaverse',
we
examine
current
state
and
challenges
in
communication
networking
within
Metaverse
systems.
We
describe
state-of-the-art
different
enabling
technologies
provide
analysis
system
architectures.
then
detail
gaps
four
areas:
performance,
mobility,
large-scale
operation,
end
architecture.
our
analysis,
formulate
vision
for
future
infrastructure,
outlining
goals,
design
concepts,
suggested
research
directions.
Frontiers in Human Neuroscience,
Год журнала:
2024,
Номер
18
Опубликована: Июнь 5, 2024
Although
brain-computer
interface
(BCI)
is
considered
a
revolutionary
advancement
in
human-computer
interaction
and
has
achieved
significant
progress,
considerable
gap
remains
between
the
current
technological
capabilities
their
practical
applications.
To
promote
translation
of
BCI
into
applications,
gold
standard
for
online
evaluation
classification
algorithms
been
proposed
some
studies.
However,
few
studies
have
more
comprehensive
method
entire
system,
it
not
yet
received
sufficient
attention
from
research
development
community.
Therefore,
qualitative
leap
analyzing
modeling
offline
data
to
construction
systems
optimizing
performance
elaborated,
then
user-centred
emphasized,
methods
translating
applications
are
detailed
reviewed
article,
including
usability
(including
effectiveness
efficiency
systems),
user
satisfaction
BCI-related
aspects,
etc.),
usage
match
system
user,
etc.)
systems.
Finally,
challenges
faced
systems,
efficacy
integration
artificial
intelligence
(AI)
and/or
virtual
reality
(VR)
other
technologies
enhance
experience
discussed.
It
expected
that
elaborated
this
review
will
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Год журнала:
2023,
Номер
31, С. 1258 - 1267
Опубликована: Янв. 1, 2023
Individual
differences
among
different
subjects
pose
a
great
challenge
to
motor
imagery
(MI)
decoding.
Multi-source
transfer
learning
(MSTL)
is
one
of
the
most
promising
ways
reduce
individual
differences,
which
can
utilize
rich
information
and
align
data
distribution
subjects.
However,
MSTL
methods
in
MI-BCI
combine
all
source
into
single
mixed
domain,
will
ignore
effect
important
samples
large
multiple
To
address
these
issues,
we
introduce
joint
matching
improve
it
multi-source
(MSTJM)
weighted
MSTJM
(wMSTJM).
Different
from
previous
MI,
our
for
each
pair
subjects,
then
integrate
results
by
decision
fusion.
Besides
that,
design
an
inter-subject
MI
decoding
framework
verify
effectiveness
two
algorithms.
It
mainly
consists
three
modules:
covariance
matrix
centroid
alignment
Riemannian
space,
selection
Euclidean
space
after
tangent
mapping
negative
computation
overhead,
further
or
wMSTJM.
The
superiority
this
verified
on
common
public
datasets
BCI
competition
IV.
average
classification
accuracy
wMSTJ
outperformed
other
state-of-the-art
at
least
4.24%
2.62%
respectively.
It's
advance
practical
applications
MI-BCI.
Sensors,
Год журнала:
2023,
Номер
23(5), С. 2480 - 2480
Опубликована: Фев. 23, 2023
In
this
work,
we
propose
a
novel
framework
to
recognize
the
cognitive
and
affective
processes
of
brain
during
neuromarketing-based
stimuli
using
EEG
signals.
The
most
crucial
component
our
approach
is
proposed
classification
algorithm
that
based
on
sparse
representation
scheme.
basic
assumption
features
from
or
process
lie
linear
subspace.
Hence,
test
signal
can
be
represented
as
(or
weighted)
combination
signals
all
classes
in
training
set.
class
membership
determined
by
adopting
Sparse
Bayesian
Framework
with
graph-based
priors
over
weights
combination.
Furthermore,
rule
constructed
residuals
experiments
publicly
available
neuromarketing
dataset
demonstrate
usefulness
approach.
For
two
tasks
offered
employed
dataset,
namely
state
recognition
recognition,
scheme
manages
achieve
higher
accuracy
compared
baseline
state-of-the
art
methods
(more
than
8%
improvement
accuracy).
Nano Trends,
Год журнала:
2024,
Номер
7, С. 100042 - 100042
Опубликована: Июнь 18, 2024
Piezoelectricity
has
emerged
as
a
pivotal
platform
technology
in
bioengineering
to
advance
cardiac
healthcare.
Unlike
common
pacemakers,
these
devices
capitalize
on
the
mechanical
energy
derived
from
movements
power
themselves,
presenting
sustainable
alternative
battery
constraints
faced
by
current
implantable
devices.
This
review
explores
advances
piezoelectric
nanogenerators
for
monitoring
and
therapy,
highlighting
their
capabilities
not
only
track
activity,
but
also
provide
therapeutic
interventions
reliable
pacemakers.
It
discusses
electric
stimulation
effects
biocompatible
integration
with
human
biology,
positioning
at
forefront
of
healthcare
solutions,
thereby
enhancing
effectiveness,
durability,
personalized
care.
IEEE Open Journal of the Communications Society,
Год журнала:
2024,
Номер
5, С. 5488 - 5539
Опубликована: Янв. 1, 2024
This
article
discusses
'Metaverse'
from
a
technical
perspective,
focusing
on
networked
systems
aspects.
Based
definition
of
the
'Metaverse',
we
examine
current
state
and
challenges
in
communication
networking
within
Metaverse
systems.
We
describe
state-of-the-art
different
enabling
technologies
provide
analysis
system
architectures.
then
detail
gaps
four
areas:
performance,
mobility,
large-scale
operation,
end
architecture.
our
analysis,
formulate
vision
for
future
infrastructure,
outlining
goals,
design
concepts,
suggested
research
directions.
