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Introduction
Definition
Early research
Classification of BMI
Working Principle
Biological aspect
Technical aspect
ABI software
Application
Advantages
Disadvantages
Conclusion
Reference
3
In2000,the group
succeeded in
building a BMI.
In the year 1970s
Schmidt, Fetz and
Baker these three
scientists
established that
monkeys could
quickly learn
language.
5
Data acquisition
unit is
responsible for
amplification,
recording, and
digitizing of the
brain signals.
11
Acquired signals
are necessary to
clean.
Band pass
filtering within
the range 4-40hz.
wavelet denoising
in order to remove
white noise
13
once the signals are cleaned,
they will be processed and
classified to find out which
kind of mental task the subject
is performing.
Bayesian classifiers take
into account all available
information
from a given data set to
identify the features of
interest.
Detecting
14
After the
classification
signals will be used
by an
appropriate algorithm
for the development
of a certain
application.
15
The
ABI(Automated
Broker
Interface) is a
BMI based
software. The
user generates
brainwaves to
perform an
action...
16
Any work can be done only by
thinking.
No need to physical movement.
Paralyzed patient can express their
feelings easily.
Gaming entertainment takes all to a
real world.
17
Brain Machine Interface
is a method of
communication based
system neural activity
generated by the brain
and independent of its
normal output. Its work
totally brain signals.so
it give us a super
security system.
19
20
http://www.wikipedia.com/braincomputerinterface
http://www.biomedicalcomputat
http://www.bciresearch.org/ionreview.org
http://www.howstaffwork.com/brainmachine.net
http://www.homepages.inf.ed.ac.uk/rbf/HIPR2
http://www.tech-faq.com/brain-computerinterface
http://www.techbriefs.com/component/content
http://www.dcc.uchile.cl/~peortega/abi/images