Brain Computer Interfaces
A Seminar on
By
G.Santhoshi
TEEGALA KRISHNA
REDDY
ENGG.COLLEGE.
www.powerpointpresentationon.blogspot.com
Agenda
• Introduction
• BCI Model
• Early Work
• BCI Approaches
• Applications
• Current Projects
• Conclusion
Introduction
• 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.
BCI 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.
How it works
Block Diagram for BCI Devices
Signal
accquisition
BCI Application
Feature Extraction Translation
Human Brain
BCI Approaches
TYPES
INVASIVE NON INVASIVE
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.
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.
Non Invasive
•As well as invasive experiments there have been experiments
in human using non-invasive neuro imagining technologies
interfaces.
•Signals recorded in this way have been used to power muscle
implants and restore partial movement in experimental
volunteer.
•Non invasive implants produce poor signal because dampens
signals dispersing and blurring the eletromagnetic waves
creayed by neurons.
Applications
• Control robots that function in dangerous or inhospitable
situations (e.g., underwater or in extreme heat or cold).
• Develop passive devices for monitoring function, such as
monitoring long-term drug effects, evaluating
psychological state, etc.
• Monitor stages of sleep
Applications
• Memory Upload/Download
• Dream Capture
• Brain as a Computer
• “Google Search” through brain
Projects
• BrainGate
• Australian Bionic Eye
• Honda Asimo Control
• Kevin Warwick – The First Human Cyborg
• Gaming Control
• Many Others….
BrainGate
Honda Asimo
Control
Gaming Control
Eyes can say a
lot…
Bionic Eye
And an artificial eye can see a
lot…
Conclusion
• A potential therapeutic tool.
• 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.
Thank You!

Brain Computer Interface

  • 1.
    Brain Computer Interfaces ASeminar on By G.Santhoshi TEEGALA KRISHNA REDDY ENGG.COLLEGE. www.powerpointpresentationon.blogspot.com
  • 2.
    Agenda • Introduction • BCIModel • Early Work • BCI Approaches • Applications • Current Projects • Conclusion
  • 3.
    Introduction • 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.
  • 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.
  • 10.
    Block Diagram forBCI Devices Signal accquisition BCI Application Feature Extraction Translation Human Brain
  • 11.
  • 12.
    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.
  • 13.
    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.
  • 14.
    Non Invasive •As wellas invasive experiments there have been experiments in human using non-invasive neuro imagining technologies interfaces. •Signals recorded in this way have been used to power muscle implants and restore partial movement in experimental volunteer. •Non invasive implants produce poor signal because dampens signals dispersing and blurring the eletromagnetic waves creayed by neurons.
  • 15.
    Applications • Control robotsthat function in dangerous or inhospitable situations (e.g., underwater or in extreme heat or cold). • Develop passive devices for monitoring function, such as monitoring long-term drug effects, evaluating psychological state, etc. • Monitor stages of sleep
  • 16.
    Applications • Memory Upload/Download •Dream Capture • Brain as a Computer • “Google Search” through brain
  • 17.
    Projects • BrainGate • AustralianBionic Eye • Honda Asimo Control • Kevin Warwick – The First Human Cyborg • Gaming Control • Many Others….
  • 18.
  • 19.
  • 20.
  • 21.
    Eyes can saya lot…
  • 22.
    Bionic Eye And anartificial eye can see a lot…
  • 23.
    Conclusion • A potentialtherapeutic tool. • 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.
  • 25.