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Brain –machine interface ABHIJIT GORAI (CSE-11/12) BIET,SURI 1
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Page 1: Brain –machine  interface

Brain –machine interface

ABHIJIT GORAI (CSE-11/12)

BIET,SURI

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Introduction

Definition

Early research

Classification of BMI

Working Principle

Biological aspect

Technical aspect

ABI software

Application

Advantages

Disadvantages

Conclusion

Reference

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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.

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BMI application

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Pre processing Classification

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Data acquisition

unit is

responsible for

amplification,

recording, and

digitizing of the

brain signals.

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Signal receiver from brain12

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Acquired signals

are necessary to

clean.

Band pass

filtering within

the range 4-40hz.

wavelet denoising

in order to remove

white noise

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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

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After the

classification

signals will be used

by an

appropriate algorithm

for the development

of a certain

application.

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The

ABI(Automated

Broker

Interface) is a

BMI based

software. The

user generates

brainwaves to

perform an

action...

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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.

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Idleness .

Control others .

Expensive.

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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.

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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

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