Brain Computer
Interaction
INTRODUCTION
 Brain Computer Interface is a direct
communication pathway between brain
and an external device.
 Richard Caton was the pioneer who
discovered electrical signals on the
surface of animal brains through his
path-breaking research.
 Brain signals such as the EEG
suggested the possibility of non-
muscular communication and control,
consummated through a BCI.
Factors influencing BCI
 BCI supports the emerging needs of
people affected with ALS, brain stem
stroke etc.
 Recent strides in measurement of
EEG in tandem with brain activity
research in humans and animals.
Factors Continued
 Evolution of low cost hardware that
allows complex real-time analysis of
brain activity.
 The recent surge in BCI research is
new recognition of the extravagant
adaptive capacities of the central
nervous system.
What is a BCI?
 A BCI is a communication and control
system that establishes real-time
interaction with the user and outside
world.
 BCI does not depend in any way on
the brain’s normal neuromuscular
output channels.
How does BCI work?
 It works on interaction of two adaptive
controllers:
 1) The user, who generates brain
signals that encodes intent.
 2) BCI system, that must translate the
received signals into commands that
perseveres the user’s intent.
 3)BCI usage is a skill-oriented tactic
which user and system should acquire
and maintain.
Signal Recording Techniques
 Functional Magnetic Resonance Imaging
(fMRI)
 Positron Emission Tomography (PET)
 Infrared (IR) Imaging.
 EEG
 ECoG
 EOG
Applications :
 Cochlear Implants
 Bionic Eye
 Dream Recording Machine
 Cyborgs
 Cyborg-Beetles
 Cyborg-Sharks
 Cyber Chauffeurs
 Social Networking
 Google Glass
 Neuro-Phone
 Neural Screen
Navigation
 Simulated Reality
 Emot-IV Systems
 Neuro Imaging
 Hacking Human Vision
System
 Brain Trainer Subject training
 Aware chair
 Brain as a Switch board
Operator
 BCI systems would certainly need an
adept futuristic enhancement because
of them being slow.
 The users are to amass a specific
domain of skills , taking all the
miniature aspects into consideration.
 Over dealing with CNS involves many
potential risks and any malfunction
could result in chronic disorders.
Conclusion:
 The research primarily focuses on
developing new augmentative
communication and control technology
 It gives modus operandi for those
who suffer from severe neuro-
muscular disorders, such as ALS,
brain stem stroke and spinal cord
afflictions.
 A tribute to Richard Caton , a pioneer
in marking the advent of BCI.
Brain computer interaction

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Brain computer interaction

  • 2. INTRODUCTION  Brain Computer Interface is a direct communication pathway between brain and an external device.  Richard Caton was the pioneer who discovered electrical signals on the surface of animal brains through his path-breaking research.  Brain signals such as the EEG suggested the possibility of non- muscular communication and control, consummated through a BCI.
  • 3. Factors influencing BCI  BCI supports the emerging needs of people affected with ALS, brain stem stroke etc.  Recent strides in measurement of EEG in tandem with brain activity research in humans and animals.
  • 4. Factors Continued  Evolution of low cost hardware that allows complex real-time analysis of brain activity.  The recent surge in BCI research is new recognition of the extravagant adaptive capacities of the central nervous system.
  • 5. What is a BCI?  A BCI is a communication and control system that establishes real-time interaction with the user and outside world.  BCI does not depend in any way on the brain’s normal neuromuscular output channels.
  • 6. How does BCI work?  It works on interaction of two adaptive controllers:  1) The user, who generates brain signals that encodes intent.  2) BCI system, that must translate the received signals into commands that perseveres the user’s intent.  3)BCI usage is a skill-oriented tactic which user and system should acquire and maintain.
  • 7. Signal Recording Techniques  Functional Magnetic Resonance Imaging (fMRI)  Positron Emission Tomography (PET)  Infrared (IR) Imaging.  EEG  ECoG  EOG
  • 8. Applications :  Cochlear Implants  Bionic Eye  Dream Recording Machine
  • 10.  Cyber Chauffeurs  Social Networking  Google Glass
  • 11.  Neuro-Phone  Neural Screen Navigation  Simulated Reality  Emot-IV Systems  Neuro Imaging
  • 12.  Hacking Human Vision System  Brain Trainer Subject training  Aware chair  Brain as a Switch board Operator
  • 13.  BCI systems would certainly need an adept futuristic enhancement because of them being slow.  The users are to amass a specific domain of skills , taking all the miniature aspects into consideration.  Over dealing with CNS involves many potential risks and any malfunction could result in chronic disorders.
  • 14. Conclusion:  The research primarily focuses on developing new augmentative communication and control technology  It gives modus operandi for those who suffer from severe neuro- muscular disorders, such as ALS, brain stem stroke and spinal cord afflictions.
  • 15.  A tribute to Richard Caton , a pioneer in marking the advent of BCI.