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Controlling Computer By Thoughts Episode -1
Why This Topic I chose? The Latest Present Gen.Tech.of S/w-H/w
The Advancements of AI ,[object Object],[object Object],[object Object],[object Object]
Fields Which will be Necessary&  Contribute in it after 20-30 years ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Recent works Done in this field ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
So Be ready in future :--- ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],If  U  R  Complete Human-Being Nature graced us by
Functioning of Brain
Historical Perspective ,[object Object],[object Object],[object Object],[object Object]
How it is being possible? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations of EEG (can measure the large scale activity) Challenges in the field (should measure the small scale activity ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sensors(Agent Programs Effectors) Environment Percepts Actions Structure Of AI Program to Handle the Concept
How the Brain is Scanned ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Functioning Of EEG ,[object Object],[object Object],[object Object],[object Object],[object Object]
Desired Element : A BIO-FEEDBACK training program   Whatever u think, think effectively at the optimum level
Computer Controlled Cursor ,[object Object],[object Object]
Brain Activated Keyboards Experimented person see the Rows and columns of matrix for the  desired Character and Thinks about that
Challenges ,[object Object],[object Object],[object Object],[object Object]
Challenges ,[object Object],[object Object]
BCI---Brain-Computer Interface ,[object Object],[object Object],[object Object],[object Object],[object Object]
Real-Time BCI system Computer system- Adaptive Human computer Interface CPU-Augmentation manager adapts interface behaviour based on events Feedback Control Signals Cognitive events EEG Brain Activity Cognitive Workload Assessment EEG discrete event detection Task context eg. External Event Timing User engaged in cognitive tasks
BCI  Interactions User-Maintains a close relation b/w his/her intentions & signal features  BCI- translates them into device commands that accomplish the user’s intentions Note-- Generations of Neuro-feedback must run in real time for successful bio-feedback training
2 Learning Systems Machine-  Learns to discriminate the different Patterns of Brain  activity as accurately as possible User-  He must be able to perform different mental tasks in  order to produce distinct Brain signals .
BCI Research Needs ,[object Object],[object Object],[object Object]
Uses of BCI Research ,[object Object],[object Object],[object Object],[object Object]
End OF Episode-1
Bibliography ,[object Object],[object Object],[object Object]
Any Suggestions &/ Queries ??
Thanx……..

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Romesh presentation on Artificial Intelligence.

  • 1. Controlling Computer By Thoughts Episode -1
  • 2. Why This Topic I chose? The Latest Present Gen.Tech.of S/w-H/w
  • 3.
  • 4.
  • 5.
  • 6.
  • 8.
  • 9.
  • 10.
  • 11. Sensors(Agent Programs Effectors) Environment Percepts Actions Structure Of AI Program to Handle the Concept
  • 12.
  • 13.
  • 14. Desired Element : A BIO-FEEDBACK training program Whatever u think, think effectively at the optimum level
  • 15.
  • 16. Brain Activated Keyboards Experimented person see the Rows and columns of matrix for the desired Character and Thinks about that
  • 17.
  • 18.
  • 19.
  • 20. Real-Time BCI system Computer system- Adaptive Human computer Interface CPU-Augmentation manager adapts interface behaviour based on events Feedback Control Signals Cognitive events EEG Brain Activity Cognitive Workload Assessment EEG discrete event detection Task context eg. External Event Timing User engaged in cognitive tasks
  • 21. BCI Interactions User-Maintains a close relation b/w his/her intentions & signal features BCI- translates them into device commands that accomplish the user’s intentions Note-- Generations of Neuro-feedback must run in real time for successful bio-feedback training
  • 22. 2 Learning Systems Machine- Learns to discriminate the different Patterns of Brain activity as accurately as possible User- He must be able to perform different mental tasks in order to produce distinct Brain signals .
  • 23.
  • 24.
  • 26.
  • 27. Any Suggestions &/ Queries ??