Spatiotemporal Modeling of Grip Forces Captures Proficiency in Manual Robot Control
Bioengineering,
Год журнала:
2023,
Номер
10(1), С. 59 - 59
Опубликована: Янв. 3, 2023
This
paper
builds
on
our
previous
work
by
exploiting
Artificial
Intelligence
to
predict
individual
grip
force
variability
in
manual
robot
control.
Grip
forces
were
recorded
from
various
loci
the
dominant
and
non
hands
of
individuals
means
wearable
wireless
sensor
technology.
Statistical
analyses
bring
fore
skill
specific
temporal
variations
thousands
a
complete
novice
highly
proficient
expert
A
brain
inspired
neural
network
model
that
uses
output
metric
Self
Organizing
Map
with
unsupervised
winner
take
all
learning
was
run
both
each
user.
The
expresses
difference
between
an
input
representation
its
at
any
given
moment
time
t
reliably
captures
differences
performance
terms
variability.Functionally
motivated
spatiotemporal
analysis
average
forces,
computed
for
windows
constant
size
restricted
amount
task-relevant
sensors
(preferred)
hand,
reveal
finger-specific
synergies
reflecting
robotic
task
skill.
lead
way
towards
monitoring
real
permit
tracking
evolution
trainees,
or
identify
proficiency
levels
human
interaction
environmental
contexts
high
sensory
uncertainty.
Parsimonious
(AI)
assistance
will
contribute
outcome
new
types
surgery,
particular
single-port
approaches
such
as
NOTES
(Natural
Orifice
Transluminal
Endoscopic
Surgery)
SILS
(Single
Incision
Laparoscopic
Surgery).
Язык: Английский
The Grossberg Code: Universal Neural Network Signatures of Perceptual Experience
Information,
Год журнала:
2023,
Номер
14(2), С. 82 - 82
Опубликована: Фев. 1, 2023
Two
universal
functional
principles
of
Grossberg’s
Adaptive
Resonance
Theory
decipher
the
brain
code
all
biological
learning
and
adaptive
intelligence.
Low-level
representations
multisensory
stimuli
in
their
immediate
environmental
context
are
formed
on
basis
bottom-up
activation
under
control
top-down
matching
rules
that
integrate
high-level,
long-term
traces
contextual
configuration.
These
coding
lead
to
establishment
lasting
signatures
perceptual
experience
living
species,
from
aplysiae
primates.
They
re-visited
this
concept
paper
examples
drawn
original
some
most
recent
related
empirical
findings
modulation
brain,
highlighting
potential
pioneering
insights
groundbreaking
theoretical
work
for
intelligent
solutions
domain
developmental
cognitive
robotics.
Язык: Английский
Sensory Factors Influence Dynamic and Static Bi-Manual Finger Grip Strength in a Real-World Task Context
Applied Sciences,
Год журнала:
2024,
Номер
14(9), С. 3548 - 3548
Опубликована: Апрель 23, 2024
Individual
grip
strength
provides
a
functional
window
into
somatosensory
processes
and
their
effects
on
motor
behaviour
in
healthy,
impaired,
ageing
individuals.
Variations
during
hand–tool
interaction
are
therefore
exploited
variety
of
experimental
tasks
to
study
the
pathology
or
ageing-related
changes
sensory,
motor,
cognitive
ability.
However,
many
different
factors
may
influence
individual
systematically
given
task
context
without
being
explicitly
identified
controlled
for.
Grip
vary
as
function
location
measurement
device
(sensor)
fingers/hand,
shape,
weight
size
object(s)
gripped,
type
investigated
(static
versus
dynamic
grip),
hand
(dominant
non-dominant)
used
for
gripping.
This
tests
additional
such
sight,
sound,
interactions
with/between
any
other
complex
context.
A
wearable
biosensor
system,
designed
measuring
variations
operators
gripping
cylindrical
objects
bi-manually,
was
used.
force
signals
were
recorded
from
all
sensors
(glove)
including
three
directly
task-relevant
bi-manually
with
dominant
non-dominant
hands.
Five
young
male
participants
tested
movement,
sight
strength.
The
had
pick
up
two
identical
weight,
then
hold
them
still
grip)
move
upwards
downwards
(dynamic
ten
seconds
while
listening
soft
hard
music,
eyes
open
blindfolded.
Significant
sensor
location,
hand,
sound
bi-manual
found.
Stronger
produced
by
when
moving
handles
comparison
static
condition,
depending,
expected,
whether
measured
hand.
Significantly
weaker
blindfolded
(sight
condition),
grips
significantly
stronger
exposure
harder
music
(sound
factor).
It
is
concluded
that
influenced
sensory
between
for,
pointing
towards
need
identifying
controlling
potential
sources
variation
contexts.
Язык: Английский
Measures of Maximal Tactile Pressures during a Sustained Grasp Task Using a TactArray Device Have Satisfactory Reliability and Concurrent Validity in People with Stroke
Sensors,
Год журнала:
2023,
Номер
23(6), С. 3291 - 3291
Опубликована: Март 20, 2023
Sensor-based
devices
can
record
pressure
or
force
over
time
during
grasping
and
therefore
offer
a
more
comprehensive
approach
to
quantifying
grip
strength
sustained
contractions.
The
objectives
of
this
study
were
investigate
the
reliability
concurrent
validity
measures
maximal
tactile
pressures
forces
grasp
task
using
TactArray
device
in
people
with
stroke.
Participants
stroke
(n
=
11)
performed
three
trials
8
s.
Both
hands
tested
within-
between-day
sessions,
without
vision.
Measures
measured
for
complete
(8
s)
duration
plateau
phase
(5
s).
Tactile
are
reported
highest
value
among
trials,
mean
two
trials.
Reliability
was
determined
changes
mean,
coefficients
variation,
intraclass
correlation
(ICCs).
Pearson
used
evaluate
validity.
This
found
that
assessed
by
means
good,
variation
good
acceptable,
ICCs
very
average
s
affected
hand
vision
within-day
sessions
sessions.
In
less
hand,
variations
5
s,
respectively,
Maximal
had
moderate
correlations
strength.
demonstrates
satisfactory
Язык: Английский
Artificial Consciousness: Misconception(s) of a Self-Fulfilling Prophecy Nobody Wants
Qeios,
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 16, 2023
The
rise
of
Artificial
Intelligence
(AI)
has
produced
prophets
and
prophecies
announcing
that
the
age
artificial
consciousness
is
near.
Not
only
does
mere
idea
any
machine
could
ever
possess
full
potential
human
suggest
AI
replace
role
God
in
future,
it
also
puts
into
question
fundamental
right
to
freedom
dignity.
This
position
paper
takes
stand
that,
light
all
we
currently
know
about
brain
evolution
never-stopping
formation
adaptive
neural
circuitry
for
learning,
memory,
decision
making
and,
ultimately,
fully
conscious
reasoning
creativity
species,
an
appears
misconceived.
highlights
some
major
reasons
why.
While
awareness
external
stimuli
processes
such
as
perception,
recognition,
operational
problem
solving
under
direct
control
functionally
specific
networks
associated
with
sensory
cognitive
functions
across
animal
a
unique
property
mind.
Potentiated
by
evolution,
come
be
when
humans
became
able
represent,
reflect
on,
Self
relation
past,
present
project
these
representations
possible
worlds
drawing
other
forms
conceptual
creative
expression.
Epigenetically
determined,
shaped
experience,
capable
representing
real
non-real
world
states,
enabled
context-dependent
circuits
have
evolved
on
grounds
self-organizing
functional
interactions
at
different
levels
integration
from-local-to
global
design.
latter
being
continuous,
limits
are
unpredictable.
If
cracking
computational
code
were
possible,
resulting
algorithms
would
generate
temporal
activity
patterns
simulating
long-distance
signal
reverberation
de-correlation
spatial
contents
from
their
signatures.
In
scientific
evidence
complex
between
implicit
(non-conscious)
explicit
(conscious)
construction
representation,
processing
explicit.
Algorithms
progressive,
less
arbitrary
selection
continuously
developing
network
structure
akin
brain,
synapses
higher
integration.
capacities
signatures
phenomenal
consciousness.
biological
consolidation
or
extinction
driven
event
probabilities
according
principles
Hebbian
learning.
Consciousness
constantly
fed
generating
stable
despite
incommensurable
amount
variability
input
data,
time
individuals,
life-long
experience
data.
require
probabilistic
computations
emulating
dynamics
learning
memory
enable
intelligence
creativity.
No
likely
potential.
Язык: Английский
Artificial Consciousness: Misconception(s) of a Self-Fulfilling Prophecy Nobody Wants
Qeios,
Год журнала:
2023,
Номер
unknown
Опубликована: Ноя. 29, 2023
The
rise
of
Artificial
Intelligence
(AI)
has
produced
prophets
and
prophecies
announcing
that
the
age
artificial
consciousness
is
near.
Not
only
does
mere
idea
any
machine
could
ever
possess
full
potential
human
suggest
AI
replace
role
God
in
future,
it
also
puts
into
question
fundamental
right
to
freedom
dignity.
Yet,
light
all
we
currently
know
about
brain
evolution
adaptive
neural
dynamics
underlying
consciousness,
an
appears
misconceived.
This
article
highlights
some
major
reasons
why
prophecy
a
successful
emulation
by
ignores
most
data
processes
learning
memory
as
developmental
origins
consciousness.
analysis
provided
leads
conclude
epigenetically
determined
unique
property
mind,
shaped
experience,
capable
representing
real
non-real
world
states
creatively
projecting
these
representations
future.
development
circuitry
enables
this
expression
highly
context-dependent,
multiple
self-organizing
functional
interactions
at
different
levels
integration
displaying
from-local-to
global
organization.
Human
subject
changes
time
are
essentially
unpredictable.
If
cracking
computational
code
were
possible,
resulting
algorithms
would
have
be
able
generate
temporal
activity
patterns
simulating
long-distance
signal
reverberation
brain,
de-correlation
spatial
contents
from
their
signatures
brain.
In
scientific
evidence
for
complex
between
implicit
(non-conscious)
explicit
(conscious)
learning,
memory,
construction
conscious
such
making
processing
explicit.
Algorithms
progressive
less
arbitrary
selection
continuously
developing
network
structure
functionally
identical
synapses
higher
cognitive
integration.
capacities
experience.
consolidation
or
extinction
driven
external
event
probabilities
according
principles
Hebbian
learning.
constantly
fed
generating
stable
despite
incommensurable
amount
variability
input
data,
across
individuals,
life-long
experience
data.
require
probabilistic
computations
emulating
individual
No
likely
potential.
Язык: Английский