Construction 5.0 and Sustainable Neuro-Responsive Habitats: Integrating the Brain–Computer Interface and Building Information Modeling in Smart Residential Spaces
Amjad Almusaed,
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İbrahim Yitmen,
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Asaad Almssad
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et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(21), P. 9393 - 9393
Published: Oct. 29, 2024
This
study
takes
a
unique
approach
by
investigating
the
integration
of
Brain–Computer
Interfaces
(BCIs)
and
Building
Information
Modeling
(BIM)
within
residential
architecture.
It
explores
their
combined
potential
to
foster
neuro-responsive,
sustainable
environments
framework
Construction
5.0.
The
methodological
involves
real-time
BCI
data
subjective
evaluations
occupants’
experiences
elucidate
cognitive
emotional
states.
These
inform
BIM-driven
alterations
that
facilitate
adaptable,
customized,
sustainability-oriented
architectural
solutions.
results
highlight
ability
BCI–BIM
create
dynamic,
occupant-responsive
enhance
well-being,
promote
energy
efficiency,
minimize
environmental
impact.
primary
contribution
this
work
is
demonstration
viability
neuro-responsive
architecture,
wherein
input
from
enables
modifications
designs.
technique
enhances
built
environments’
flexibility
user-centered
quality
integrating
occupant
preferences
mental
states
into
design
process.
Furthermore,
BIM
technologies
has
significant
implications
for
advancing
sustainability
facilitating
energy-efficient
ecologically
responsible
areas.
offers
practical
insights
architects,
engineers,
construction
professionals,
providing
method
implementing
systems
user
experience
practices.
research
examines
ethical
issues
concerning
privacy,
security,
informed
permission,
ensuring
these
adhere
moral
legal
requirements.
underscores
transformational
while
acknowledging
challenges
related
interoperability,
integrity,
scalability.
As
result,
ongoing
innovation
rigorous
supervision
are
crucial
effectively
technologies.
findings
provide
industry
offering
roadmap
developing
intelligent
ethically
sound
Language: Английский
Smart Prosthetics Controller Types: Review
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
15(2), P. 131 - 154
Published: Dec. 15, 2024
Advanced
prosthetics
are
a
crucial
aspect
of
rehabilitation
technology
and
receiving
increased
attention
globally.
Approximately
2
million
people
require
prosthetic
limbs,
presenting
opportunities
for
enhancing
their
quality
life.
State-of-the-art
technologies
such
as
realistic
arms
myoelectric
prostheses
gaining
popularity.
Progress
in
sensor
technology,
artificial
intelligence,
materials
has
driven
the
field
forward.
Various
types
controllers,
including
direct,
pattern
recognition,
proportional-derivative,
have
been
developed.
Integration
material
science,
computer
neurology
facilitated
controller
advancements.
Techniques
like
targeted
muscle
reinnervation
Osseo
integrated
offer
improved
surgical
options.
Gesture
recognition
intelligent
sensors
hand
control.
Future
advancements
will
involve
machine
learning,
sensing
techniques,
while
ethical
concerns
must
be
addressed.
prostheses,
also
known
myocontrolled
or
lower-limb
micromod
investigative
patient
acceptance
rate
75%
to
80%.
However,
these
methods
advantages,
there
drawbacks.
Integrating
different
controllers
smart
overall
device's
strength
robustness
significant
impact.
This
discussion
focuses
on
various
dividing
activity
into
extracellular
potential
EEG
signals
Language: Английский