Brain computer interface
By
Aman Kumar
Contents
• Introduction
• BCI Model
• Early Work
• BCI Approaches
• Applications
• Current Projects
• Conclusion
Introduction
 Direct-Nueral Interface(DNI) or Brain-computer interface
(BCI) is a fast-growing emergent technology, in which
researchers aim to build a direct channel between the
human brain and the computer.
 A Brain Computer Interface (BCI) is a collaboration in
which a brain accepts and controls a mechanical device as
a natural part of its representation of the body.
 Computer-brain interfaces are designed to restore sensory
function, transmit sensory information to the brain, or
stimulate the brain through artificially generated
electrical signals.
DNI Model
Model
Early work
 Algorithms to reconstruct movements from motor cortex neurons, which
control movement, were developed in 1970s.
 The first Intra-Cortical Brain-Computer Interface was built by implanting
electrodes into monkeys.
 After conducting initial studies in rats during the 1990s, researchers
developed Brain Computer Interfaces that decoded brain activity in
monkeys and used the devices to reproduce movements in monkeys
and used the devices to reproduce monkey movements in robotic arms.
History-Monkey first
 1990: First successful experiments with monkeys.
 Implanting electrode arrays into monkey brains.
 Recording of monkeys‘ brain waves.
 2000: Monkeys control robots by thoughts.
How it works
Basic Components:
 Implant device
 Signal recording and
processing
 External device used
for control
 Feedback section to
the subject
What is logical scheme of BCI?
appropriate feature extraction
Modification of
EEG Brain Signals
Psychological
Effort
(Intention)
Signal Features
Classification
Of Intent
usertraining
appropriate feedback strategy
computertraining
Brain Computer
Environment
What is the motivation for BCI Research ?
Only in USA, more than 200,000 patients
live with the motor consequences of
serious injury.
Motivation for Patients: is to give disable
people to communicate, to operate
prostheses, and even to operate
wheelchairs using brain signals
Only the INVASIVE SURGEON TECHNIQUE allows putting electrode
into a very local area of a brain uniting a few neurons. These
neurons could be belong to the cortex center, for example, for
finger control.
BCI Approaches
Invasive
 Invasive BCIs are implanted directly into the grey matter of the brain
during neurosurgery.
 As they rest in the grey matter, invasive devices produce the highest
quality signals of BCI devices but are prone to scar- tissue build-up,
causing the signal to become weaker or even lost as the body reacts
to a foreign object in the brain.
Semi and Non Invasive
 Electrocorticography (ECoG) measures the electrical activity of the brain
taken from beneath the skull in a similar way to non-invasive
electroencephalography but the electrodes are embedded in a thin plastic
pad that is placed above the cortex, beneath the dura mater.
 Electroencephalography In conventional scalp EEG, the recording is obtained
by placing electrodes on the scalp with a conductive gel or paste, usually after
preparing the scalp area by light abrasion to reduce impedance due to dead
skin cells. Many systems typically use electrodes, each of which is attached to
an individual wire.
 fMRI = Functional Magnetic Resonance Imaging fMRI exploits the changes
in the magnetic properties of hemoglobin as it carries oxygen. Activation of a
part of the brain increases oxygen levels there increasing the ratio of
oxyhemoglobin to deoxyhemoglobin.
 Magnetoencephalography (MEG) MEG detects the tiny magnetic fields
created as individual neurons "fire" within the brain. It can pinpoint the active
region with a millimeter, and can follow the movement of brain activity as it
travels from region to region within the brain.
Application
Applications
 Provide disabled people with communication, environment
control, and movement restoration.
 Provide enhanced control of devices such as wheelchairs,
vehicles, or assistance robots for people with disabilities.
 Provide additional channel of control in computer games.
 Monitor attention in long-distance drivers or aircraft pilots,
send out alert and warning for aircraft pilots.
 Develop intelligent relaxation devices.
Applications
 Control robots that function in dangerous or
inhospitable situations (e.g., underwater or in
extreme heat or cold).
 Create a feedback loop to enhance the benefits of
certain therapeutic methods.
 Develop passive devices for monitoring function,
such as monitoring long-term drug effects,
evaluating psychological state, etc.
 Monitor stages of sleep.
Applications
 Bionics/Cybernetics.
 Memory Upload/Download.
 Dream Capture.
 Brain as a Computer.
 “Google Search” through brain.
Projects
 Brain Gate
 BCI2000
 Australian Bionic Eye
 Honda Asimov Control
 Kevin Warwick – The First Human Cyborg
 Gaming Control
 Many Others….
Brain Gate
Honda Asimo
Control
Gaming Control
Bionic Eye
And an artificial eye can see a lot…
Existing Solution
 Successful Story, Wearable BCI
◦ A successful transition of the whole BCI system to the portable device
◦ No machine learning
◦ Limited computational power (limited signal processing)
 BCI-2000
◦ A general-purpose system for (BCI) research
 Source Module (new device new driver)
 Signal Processing Module (reusable, No Machine Learning)
 User Application Module (UDP/IP support to be running in any machine)
◦ Platform
 Microsoft Windows™ 2000/XP
 C++ language
Wearable BCI
 Mobility
Communication technologies
• Bluetooth
• 802.11(wire less –WLAN)
• GSM/GPRS
PDA instead of stationary computer
 Dry Electrode instead of wet (reducing
montage time)
 Making the BCI transparent
No need to change electrodes for a reasonable
long time
Architecture
Functionality of BCI
 Steps for the function of BCI.
1.user wired to a multi-electrode EEG skin cap, which
is connected to a pc running BCI-2000.
2.user of the signal asked to generate a series of
signals.
3.EEG potential record and analyze the signal
4.the software attempt to match these signal to
previous recorded signals.
5.at last identified words are wrapped on output
devices like-screen or speech synthesizer.
Risk factors and Alternate Solution
 Undergone through
hurdle brain
surgery.
 New surgery for
each up gradation
 Risky and
complicated eyes
surgery.
 Use wearable
computing
devices.
 External device is
good option.
 Glasses and Lasik
operation is best
options.
BCI Drawbacks
THE DRAWBACKS OF BCI :
- THE BRAIN IS INCREDIBLY COMPLEX,
- THE SIGNAL IS WEAK & PRONE TO INTERFENCE,
- THE EQUIPMENTS IS LESS THAN PORTABLE,
Current Projects
 Berlin Brain-Computer-Interface
o Joint Venture of several German research
organisations.
o Supported by the Ministry of Education and
Research.
 Graz Brain-Computer-Interface
o Wide range of research topics.
o Impressive combination of BCI and FES
(Functional Electrical Stimulation).
Fiction or Future??
Conclusion
 A potential therapeutic tool.
 BCI is an advancing technology promising paradigm shift in
areas like Machine Control, Human Enhancement, Virtual
reality and etc. So, it’s potentially high impact technology.
 Several potential applications of BCI hold promise for
rehabilitation and improving performance, such as treating
emotional disorders (for example, depression or anxiety),
easing chronic pain, and overcoming movement disabilities
due to stroke.
 Will enable us to achieve singularity very soon.
 Intense R&D in future to attain intuitive efficiency.
Brain Computer Interface ppt
Brain Computer Interface ppt

Brain Computer Interface ppt

  • 1.
  • 2.
    Contents • Introduction • BCIModel • Early Work • BCI Approaches • Applications • Current Projects • Conclusion
  • 3.
    Introduction  Direct-Nueral Interface(DNI)or Brain-computer interface (BCI) is a fast-growing emergent technology, in which researchers aim to build a direct channel between the human brain and the computer.  A Brain Computer Interface (BCI) is a collaboration in which a brain accepts and controls a mechanical device as a natural part of its representation of the body.  Computer-brain interfaces are designed to restore sensory function, transmit sensory information to the brain, or stimulate the brain through artificially generated electrical signals.
  • 4.
  • 5.
  • 6.
    Early work  Algorithmsto reconstruct movements from motor cortex neurons, which control movement, were developed in 1970s.  The first Intra-Cortical Brain-Computer Interface was built by implanting electrodes into monkeys.  After conducting initial studies in rats during the 1990s, researchers developed Brain Computer Interfaces that decoded brain activity in monkeys and used the devices to reproduce movements in monkeys and used the devices to reproduce monkey movements in robotic arms.
  • 7.
    History-Monkey first  1990:First successful experiments with monkeys.  Implanting electrode arrays into monkey brains.  Recording of monkeys‘ brain waves.  2000: Monkeys control robots by thoughts.
  • 8.
  • 11.
    Basic Components:  Implantdevice  Signal recording and processing  External device used for control  Feedback section to the subject
  • 12.
    What is logicalscheme of BCI? appropriate feature extraction Modification of EEG Brain Signals Psychological Effort (Intention) Signal Features Classification Of Intent usertraining appropriate feedback strategy computertraining Brain Computer Environment
  • 13.
    What is themotivation for BCI Research ? Only in USA, more than 200,000 patients live with the motor consequences of serious injury. Motivation for Patients: is to give disable people to communicate, to operate prostheses, and even to operate wheelchairs using brain signals Only the INVASIVE SURGEON TECHNIQUE allows putting electrode into a very local area of a brain uniting a few neurons. These neurons could be belong to the cortex center, for example, for finger control.
  • 14.
  • 15.
    Invasive  Invasive BCIsare implanted directly into the grey matter of the brain during neurosurgery.  As they rest in the grey matter, invasive devices produce the highest quality signals of BCI devices but are prone to scar- tissue build-up, causing the signal to become weaker or even lost as the body reacts to a foreign object in the brain.
  • 16.
    Semi and NonInvasive  Electrocorticography (ECoG) measures the electrical activity of the brain taken from beneath the skull in a similar way to non-invasive electroencephalography but the electrodes are embedded in a thin plastic pad that is placed above the cortex, beneath the dura mater.  Electroencephalography In conventional scalp EEG, the recording is obtained by placing electrodes on the scalp with a conductive gel or paste, usually after preparing the scalp area by light abrasion to reduce impedance due to dead skin cells. Many systems typically use electrodes, each of which is attached to an individual wire.  fMRI = Functional Magnetic Resonance Imaging fMRI exploits the changes in the magnetic properties of hemoglobin as it carries oxygen. Activation of a part of the brain increases oxygen levels there increasing the ratio of oxyhemoglobin to deoxyhemoglobin.  Magnetoencephalography (MEG) MEG detects the tiny magnetic fields created as individual neurons "fire" within the brain. It can pinpoint the active region with a millimeter, and can follow the movement of brain activity as it travels from region to region within the brain.
  • 17.
  • 18.
    Applications  Provide disabledpeople with communication, environment control, and movement restoration.  Provide enhanced control of devices such as wheelchairs, vehicles, or assistance robots for people with disabilities.  Provide additional channel of control in computer games.  Monitor attention in long-distance drivers or aircraft pilots, send out alert and warning for aircraft pilots.  Develop intelligent relaxation devices.
  • 19.
    Applications  Control robotsthat function in dangerous or inhospitable situations (e.g., underwater or in extreme heat or cold).  Create a feedback loop to enhance the benefits of certain therapeutic methods.  Develop passive devices for monitoring function, such as monitoring long-term drug effects, evaluating psychological state, etc.  Monitor stages of sleep.
  • 20.
    Applications  Bionics/Cybernetics.  MemoryUpload/Download.  Dream Capture.  Brain as a Computer.  “Google Search” through brain.
  • 21.
    Projects  Brain Gate BCI2000  Australian Bionic Eye  Honda Asimov Control  Kevin Warwick – The First Human Cyborg  Gaming Control  Many Others….
  • 22.
  • 23.
  • 24.
  • 25.
    Bionic Eye And anartificial eye can see a lot…
  • 26.
    Existing Solution  SuccessfulStory, Wearable BCI ◦ A successful transition of the whole BCI system to the portable device ◦ No machine learning ◦ Limited computational power (limited signal processing)  BCI-2000 ◦ A general-purpose system for (BCI) research  Source Module (new device new driver)  Signal Processing Module (reusable, No Machine Learning)  User Application Module (UDP/IP support to be running in any machine) ◦ Platform  Microsoft Windows™ 2000/XP  C++ language
  • 27.
    Wearable BCI  Mobility Communicationtechnologies • Bluetooth • 802.11(wire less –WLAN) • GSM/GPRS PDA instead of stationary computer  Dry Electrode instead of wet (reducing montage time)  Making the BCI transparent No need to change electrodes for a reasonable long time
  • 28.
  • 29.
    Functionality of BCI Steps for the function of BCI. 1.user wired to a multi-electrode EEG skin cap, which is connected to a pc running BCI-2000. 2.user of the signal asked to generate a series of signals. 3.EEG potential record and analyze the signal 4.the software attempt to match these signal to previous recorded signals. 5.at last identified words are wrapped on output devices like-screen or speech synthesizer.
  • 30.
    Risk factors andAlternate Solution  Undergone through hurdle brain surgery.  New surgery for each up gradation  Risky and complicated eyes surgery.  Use wearable computing devices.  External device is good option.  Glasses and Lasik operation is best options.
  • 31.
    BCI Drawbacks THE DRAWBACKSOF BCI : - THE BRAIN IS INCREDIBLY COMPLEX, - THE SIGNAL IS WEAK & PRONE TO INTERFENCE, - THE EQUIPMENTS IS LESS THAN PORTABLE,
  • 32.
    Current Projects  BerlinBrain-Computer-Interface o Joint Venture of several German research organisations. o Supported by the Ministry of Education and Research.  Graz Brain-Computer-Interface o Wide range of research topics. o Impressive combination of BCI and FES (Functional Electrical Stimulation).
  • 33.
  • 34.
    Conclusion  A potentialtherapeutic tool.  BCI is an advancing technology promising paradigm shift in areas like Machine Control, Human Enhancement, Virtual reality and etc. So, it’s potentially high impact technology.  Several potential applications of BCI hold promise for rehabilitation and improving performance, such as treating emotional disorders (for example, depression or anxiety), easing chronic pain, and overcoming movement disabilities due to stroke.  Will enable us to achieve singularity very soon.  Intense R&D in future to attain intuitive efficiency.