Sample Ppt 2

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Transcript of Sample Ppt 2

Page 1: Sample Ppt 2

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1

5142018 Sample Ppt 2 - slidepdfcom

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3202012 BRAIN COMPUTER INTERFACE 2

CONTENTS

INTRODUCTION THE HUMAN BRAIN

ELECTROENCEPHALOGRAPHY BCI APPROACHES HARDWARE amp SOFTAWARE REQUIRED HOW BCI WORKS BCI FEEDBACK DRAWBACKS amp INNOVATORS APPLICATIONS CONCLUSION

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 316

3202012 BRAIN COMPUTER INTERFACE 3

INTRODUCTION

THE BRAIN COMPUTER INTERFACE

BCI Systems are systems

that uses Brain signals (ElectricalMagnetic Metabolic) to Control

external devices such ascomputers switches wheelchairsor neuroprosthesses Various Techniques used

FMRI MEG PET SPECTOptical brain imaging single

Neuron recording (with micro-Electrodes) amp ElectroEnce ndash phaloGraphy (EEG)

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 416

3202012 BRAIN COMPUTER INTERFACE 4

THE HUMAN BRAIN

MAJOR PART OF BRAIN WHICHSUPPORTS BCI

Brain divided in 4 parts

Cerebral Cortex

Cerebellum

Brain stem

Hypothalamus amp Thalamus

Fig 3 Human Brain

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 516

3202012 BRAIN COMPUTER INTERFACE 5

ELECTROENCEPHALOGRAPHY(EEG)

CONCEPT OF EEG

PROPERTIES OF EEG RYTHMIC BRAIN ACTIVITY

COMMON EEG FREQUENCYRANGES

EVENT RELATED POTENTIALS

(ERP`S)

EVENT RELATED DESYNCHRO-NIZATION (ERD)

EVENT RELATED SYNCHRINIZATION (ERS)

Fig 4 EEG frequency

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 616

3202012 BRAIN COMPUTER INTERFACE 6

BCI APPROACHES

TWO DIFFERENT BCI APPROACHES

PATTERN RECOGNITION APPROACHBASED ON MENTAL TASK

OPERANT CONDITIONING APPROACHBASED ON SELF REGULATION OF EEG

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 716

3202012 BRAIN COMPUTER INTERFACE 7

HARDWARE REQUIREMENTS

ELECTROENCEPHALO PROCESSORMODEL H11 (EEPH11)

EEG DEVICE

ELECTRODE CAP

EEG AMPLIFIERE

FIBRE OPTIC CABLE

COMPUTER OR SUBJECT SCREEN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 2: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

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3202012 BRAIN COMPUTER INTERFACE 2

CONTENTS

INTRODUCTION THE HUMAN BRAIN

ELECTROENCEPHALOGRAPHY BCI APPROACHES HARDWARE amp SOFTAWARE REQUIRED HOW BCI WORKS BCI FEEDBACK DRAWBACKS amp INNOVATORS APPLICATIONS CONCLUSION

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 316

3202012 BRAIN COMPUTER INTERFACE 3

INTRODUCTION

THE BRAIN COMPUTER INTERFACE

BCI Systems are systems

that uses Brain signals (ElectricalMagnetic Metabolic) to Control

external devices such ascomputers switches wheelchairsor neuroprosthesses Various Techniques used

FMRI MEG PET SPECTOptical brain imaging single

Neuron recording (with micro-Electrodes) amp ElectroEnce ndash phaloGraphy (EEG)

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 416

3202012 BRAIN COMPUTER INTERFACE 4

THE HUMAN BRAIN

MAJOR PART OF BRAIN WHICHSUPPORTS BCI

Brain divided in 4 parts

Cerebral Cortex

Cerebellum

Brain stem

Hypothalamus amp Thalamus

Fig 3 Human Brain

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 516

3202012 BRAIN COMPUTER INTERFACE 5

ELECTROENCEPHALOGRAPHY(EEG)

CONCEPT OF EEG

PROPERTIES OF EEG RYTHMIC BRAIN ACTIVITY

COMMON EEG FREQUENCYRANGES

EVENT RELATED POTENTIALS

(ERP`S)

EVENT RELATED DESYNCHRO-NIZATION (ERD)

EVENT RELATED SYNCHRINIZATION (ERS)

Fig 4 EEG frequency

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 616

3202012 BRAIN COMPUTER INTERFACE 6

BCI APPROACHES

TWO DIFFERENT BCI APPROACHES

PATTERN RECOGNITION APPROACHBASED ON MENTAL TASK

OPERANT CONDITIONING APPROACHBASED ON SELF REGULATION OF EEG

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 716

3202012 BRAIN COMPUTER INTERFACE 7

HARDWARE REQUIREMENTS

ELECTROENCEPHALO PROCESSORMODEL H11 (EEPH11)

EEG DEVICE

ELECTRODE CAP

EEG AMPLIFIERE

FIBRE OPTIC CABLE

COMPUTER OR SUBJECT SCREEN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 3: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 316

3202012 BRAIN COMPUTER INTERFACE 3

INTRODUCTION

THE BRAIN COMPUTER INTERFACE

BCI Systems are systems

that uses Brain signals (ElectricalMagnetic Metabolic) to Control

external devices such ascomputers switches wheelchairsor neuroprosthesses Various Techniques used

FMRI MEG PET SPECTOptical brain imaging single

Neuron recording (with micro-Electrodes) amp ElectroEnce ndash phaloGraphy (EEG)

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 416

3202012 BRAIN COMPUTER INTERFACE 4

THE HUMAN BRAIN

MAJOR PART OF BRAIN WHICHSUPPORTS BCI

Brain divided in 4 parts

Cerebral Cortex

Cerebellum

Brain stem

Hypothalamus amp Thalamus

Fig 3 Human Brain

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 516

3202012 BRAIN COMPUTER INTERFACE 5

ELECTROENCEPHALOGRAPHY(EEG)

CONCEPT OF EEG

PROPERTIES OF EEG RYTHMIC BRAIN ACTIVITY

COMMON EEG FREQUENCYRANGES

EVENT RELATED POTENTIALS

(ERP`S)

EVENT RELATED DESYNCHRO-NIZATION (ERD)

EVENT RELATED SYNCHRINIZATION (ERS)

Fig 4 EEG frequency

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 616

3202012 BRAIN COMPUTER INTERFACE 6

BCI APPROACHES

TWO DIFFERENT BCI APPROACHES

PATTERN RECOGNITION APPROACHBASED ON MENTAL TASK

OPERANT CONDITIONING APPROACHBASED ON SELF REGULATION OF EEG

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 716

3202012 BRAIN COMPUTER INTERFACE 7

HARDWARE REQUIREMENTS

ELECTROENCEPHALO PROCESSORMODEL H11 (EEPH11)

EEG DEVICE

ELECTRODE CAP

EEG AMPLIFIERE

FIBRE OPTIC CABLE

COMPUTER OR SUBJECT SCREEN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 4: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 416

3202012 BRAIN COMPUTER INTERFACE 4

THE HUMAN BRAIN

MAJOR PART OF BRAIN WHICHSUPPORTS BCI

Brain divided in 4 parts

Cerebral Cortex

Cerebellum

Brain stem

Hypothalamus amp Thalamus

Fig 3 Human Brain

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 516

3202012 BRAIN COMPUTER INTERFACE 5

ELECTROENCEPHALOGRAPHY(EEG)

CONCEPT OF EEG

PROPERTIES OF EEG RYTHMIC BRAIN ACTIVITY

COMMON EEG FREQUENCYRANGES

EVENT RELATED POTENTIALS

(ERP`S)

EVENT RELATED DESYNCHRO-NIZATION (ERD)

EVENT RELATED SYNCHRINIZATION (ERS)

Fig 4 EEG frequency

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 616

3202012 BRAIN COMPUTER INTERFACE 6

BCI APPROACHES

TWO DIFFERENT BCI APPROACHES

PATTERN RECOGNITION APPROACHBASED ON MENTAL TASK

OPERANT CONDITIONING APPROACHBASED ON SELF REGULATION OF EEG

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 716

3202012 BRAIN COMPUTER INTERFACE 7

HARDWARE REQUIREMENTS

ELECTROENCEPHALO PROCESSORMODEL H11 (EEPH11)

EEG DEVICE

ELECTRODE CAP

EEG AMPLIFIERE

FIBRE OPTIC CABLE

COMPUTER OR SUBJECT SCREEN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 5: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 516

3202012 BRAIN COMPUTER INTERFACE 5

ELECTROENCEPHALOGRAPHY(EEG)

CONCEPT OF EEG

PROPERTIES OF EEG RYTHMIC BRAIN ACTIVITY

COMMON EEG FREQUENCYRANGES

EVENT RELATED POTENTIALS

(ERP`S)

EVENT RELATED DESYNCHRO-NIZATION (ERD)

EVENT RELATED SYNCHRINIZATION (ERS)

Fig 4 EEG frequency

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 616

3202012 BRAIN COMPUTER INTERFACE 6

BCI APPROACHES

TWO DIFFERENT BCI APPROACHES

PATTERN RECOGNITION APPROACHBASED ON MENTAL TASK

OPERANT CONDITIONING APPROACHBASED ON SELF REGULATION OF EEG

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 716

3202012 BRAIN COMPUTER INTERFACE 7

HARDWARE REQUIREMENTS

ELECTROENCEPHALO PROCESSORMODEL H11 (EEPH11)

EEG DEVICE

ELECTRODE CAP

EEG AMPLIFIERE

FIBRE OPTIC CABLE

COMPUTER OR SUBJECT SCREEN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 6: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 616

3202012 BRAIN COMPUTER INTERFACE 6

BCI APPROACHES

TWO DIFFERENT BCI APPROACHES

PATTERN RECOGNITION APPROACHBASED ON MENTAL TASK

OPERANT CONDITIONING APPROACHBASED ON SELF REGULATION OF EEG

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 716

3202012 BRAIN COMPUTER INTERFACE 7

HARDWARE REQUIREMENTS

ELECTROENCEPHALO PROCESSORMODEL H11 (EEPH11)

EEG DEVICE

ELECTRODE CAP

EEG AMPLIFIERE

FIBRE OPTIC CABLE

COMPUTER OR SUBJECT SCREEN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 7: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 716

3202012 BRAIN COMPUTER INTERFACE 7

HARDWARE REQUIREMENTS

ELECTROENCEPHALO PROCESSORMODEL H11 (EEPH11)

EEG DEVICE

ELECTRODE CAP

EEG AMPLIFIERE

FIBRE OPTIC CABLE

COMPUTER OR SUBJECT SCREEN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 8: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 816

3202012 BRAIN COMPUTER INTERFACE 8

SOFTWARE REQUIREMENTS

EEP H11 SERVER

ABI LEARNING PROGRAME

ABI ONLINE PROGRAME

ABI VISUALIZATION PROGRAME

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 9: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 916

3202012 BRAIN COMPUTER INTERFACE 9

HOW BCI WORKS

IT HAS SIX STAGES GENERATION OF

SIGNALS FROM BRAIN

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 10: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1016

3202012 BRAIN COMPUTER INTERFACE 10

HOW BCI WORKS

MEASUREMENT OF EEG PREPROCESSING

FEATURE EXTRACTION

CLASSIFICATION

DEVICE CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 11: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1116

3202012 BRAIN COMPUTER INTERFACE 11

BCI FEEDBACK

BIOFEEDBACKIN GENERAL

EEGBIOFEEDBACK

FEEDBACKS INBCI

Fig 6 BCI Feedback

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 12: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1216

3202012 BRAIN COMPUTER INTERFACE 12

BCI FEEDBACKS

EFFECT OF FFEDBACK BENEFICIAL FEEDBACK

FURNISHES BENEFICIAL MOTIVATION

ENSURES ATTENTION TO THE TASK BYMAINTAINING SUBJECT`S INTEREST

IMPROVES PERFORMANCE BY RAPIDREACTION TO WRONG CLASSIFICATION

HARMFUL FEEDBACK

FEEDBACK STIMULUS MIGHT PREVENTCONCENTRATION ON INTERNAL STATES

FALSE CLASSIFICATION CAN ELICITFRUSTRATION amp THUS AFFECT THE EEGRESPONSE

VISUAL FEEDBACK STIMULUS AFFECT ALPHARHYTHM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 13: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1316

3202012 BRAIN COMPUTER INTERFACE 13

BCI DRAWBACKS

THE DRAWBACKS OF BCI THE BRAIN IS INCREDIBLY COMPLEX

THE SIGNAL IS WEAK amp PRONE TOINTERFENCE

THE EQUIPMENTS IS LESS THANPORTABLE

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 14: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1416

3202012 BRAIN COMPUTER INTERFACE 14

BCI INNOVATORS

PIONEERS

NASA

CYBERKINETICS NEUROTECHNOLOGYSYSTEM

JAPANESE REASERCH TEAM

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 15: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1516

3202012 BRAIN COMPUTER INTERFACE 15

APPLICATIONS OF BCI

CONTROL A ROBOT

PLAYING GAMES

FOR PHYSICALLY WEAK PERSONS TOHANDLE THE COMPUTER

CURSOR CONTROL

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized

Page 16: Sample Ppt 2

5142018 Sample Ppt 2 - slidepdfcom

httpslidepdfcomreaderfullsample-ppt-2 1616

3202012 BRAIN COMPUTER INTERFACE 16

CONCLUSION

In this work EEG-based brain computer interface systems

were reviewed and compared Experiments lasting five days

with three subjects were done with the new Adaptive Brain

Interface system

The comparison of the BCI systems especially their

training duration and performance proved to be difficult This

was because the results were reported differently in most of the papers Reporting the experiments and results should be

standardized