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5142018 Sample Ppt 2 - slidepdfcom
httpslidepdfcomreaderfullsample-ppt-2 116
1
5142018 Sample Ppt 2 - slidepdfcom
httpslidepdfcomreaderfullsample-ppt-2 216
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
5142018 Sample Ppt 2 - slidepdfcom
httpslidepdfcomreaderfullsample-ppt-2 216
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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