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Thought – Powered Typing
1
Content
 Introduction
 Goal
 How does it work?
 Implementation
 Techniques
 Algorithm
 Database
 Applications
 Advantages
 Disadvantages 2
Technology
 The Technology is the knowledge put into practical use
to solve problems or invent useful tools.
 Utilization of tools, techniques and systems in order to
serve a bigger purpose like solving problems or making
life easier and better. Its significance on humans is
tremendous because technology helps them adapt to
the environment
3
Science
 A branch of knowledge of study dealing with a body of
facts or truths systematically arranged.
 Science has no purpose… Science is a methodology for
increasing understanding. So, if your purpose is to
increase your understanding, Science may be useful.
4
Technology + Science
Thought - Powered Typing
5
6
 Thought-Powered Typing, also called Brain-Computer
Interface or Brain Machine Interface broadly represents
any collaboration between the human brain and an
external device.
 Come in the form of a combination of hardware and
software.
 Allows any person to type words and phrases letter by
letter, just by thinking.
introduction
7
Serious research into BCIs began in university
laboratories in the 1970s.
More recently, researchers and commercial
groups have begun work on non-clinical
applications of neurotechnology.
The primary focus of BCI research has been to
provide a communications pathway for seriously
disabled persons.
8
“ The Main goal is to enhance human-computer
interaction through responses, to improve the
productivity of the user and to enable applications to
initiate interactions with and on behalf of the user,
without waiting for explicit input from the user.”
9
10
How does it work?
 The brain typing system uses functional magnetic
resonance imaging (fMRI) and functional near-infrared
spectroscopy (FINRS) to analyze the hemodynamic
responses in the brain.
 Each alphabet letter corresponds to one of 27 “reliable
and differentiable single-trial fMRI signals”.
 Various computer algorithms are used to analyze.
11
12
Implementation
 Silicon patch, covered in a hundred tiny probes, onto
the region the brain called the primary motor cortex
which is responsible for movement, then it is connected
to computer through wire. (OR)
 Wearing headband that transmit light into the tissues of
the head, the light is absorbed by the blood-filled tissues
and active tissues, and compared by MRI.
13
Techniques
 Facial Affect Detection: It is done by using hidden
Markov Model, Neural Network processing or active
appearance model.
 Emotional Classification: It uses classification by Paul
Ekman.
 Galvanic Skin Response: Measure of skin conductivity
which is dependent on how moist the skin is.
 Blood Volume Pulses: Produces graph indicating blood
flow.
14
15
Algorithm
LDA, k-NN, GMM, SVM, Decision Tree Algorithm.
LDA (Linear Discriminant Analysis):-
 Used in statistics, pattern recognition and machine
learning to find a linear combination of features.
 LDA is closely related to regression analysis.
 Few mathematical methods like Probability Density
Function, Co-variance and mean for 2-class data.
16
Databases
 Data recorded has to be matched with person data.
 First database was created FAU Aibo Emotion Corpus
for CEICES (Combining Efforts for Improving automatic
Classification of Emotional user Status).
17
Applications
• By using the mind-reading system the bankruptcy can
be predicted.
• It has its application in facial reading.
• “It also helps the paralytic patients.”
18
Facebook
19
Advantages
 It can be implemented on the wheel-chair and the
wheel-chair can be moved through the mind control.
 This will aid the spacewalking astronauts and physically
disabled persons.
 Predicting future dangerousness more generally. We are
closer than ever to the crime-prediction technology of
Minority Report.
20
Disadvantages
 Before implementing the systems the scientists need to
train the systems about all the patterns to predict the
result.
21
22
Submitted By,
S. Aishwarya
THANK YOU
23

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Thought-powered typing

  • 2. Content  Introduction  Goal  How does it work?  Implementation  Techniques  Algorithm  Database  Applications  Advantages  Disadvantages 2
  • 3. Technology  The Technology is the knowledge put into practical use to solve problems or invent useful tools.  Utilization of tools, techniques and systems in order to serve a bigger purpose like solving problems or making life easier and better. Its significance on humans is tremendous because technology helps them adapt to the environment 3
  • 4. Science  A branch of knowledge of study dealing with a body of facts or truths systematically arranged.  Science has no purpose… Science is a methodology for increasing understanding. So, if your purpose is to increase your understanding, Science may be useful. 4
  • 5. Technology + Science Thought - Powered Typing 5
  • 6. 6
  • 7.  Thought-Powered Typing, also called Brain-Computer Interface or Brain Machine Interface broadly represents any collaboration between the human brain and an external device.  Come in the form of a combination of hardware and software.  Allows any person to type words and phrases letter by letter, just by thinking. introduction 7
  • 8. Serious research into BCIs began in university laboratories in the 1970s. More recently, researchers and commercial groups have begun work on non-clinical applications of neurotechnology. The primary focus of BCI research has been to provide a communications pathway for seriously disabled persons. 8
  • 9. “ The Main goal is to enhance human-computer interaction through responses, to improve the productivity of the user and to enable applications to initiate interactions with and on behalf of the user, without waiting for explicit input from the user.” 9
  • 10. 10
  • 11. How does it work?  The brain typing system uses functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (FINRS) to analyze the hemodynamic responses in the brain.  Each alphabet letter corresponds to one of 27 “reliable and differentiable single-trial fMRI signals”.  Various computer algorithms are used to analyze. 11
  • 12. 12
  • 13. Implementation  Silicon patch, covered in a hundred tiny probes, onto the region the brain called the primary motor cortex which is responsible for movement, then it is connected to computer through wire. (OR)  Wearing headband that transmit light into the tissues of the head, the light is absorbed by the blood-filled tissues and active tissues, and compared by MRI. 13
  • 14. Techniques  Facial Affect Detection: It is done by using hidden Markov Model, Neural Network processing or active appearance model.  Emotional Classification: It uses classification by Paul Ekman.  Galvanic Skin Response: Measure of skin conductivity which is dependent on how moist the skin is.  Blood Volume Pulses: Produces graph indicating blood flow. 14
  • 15. 15
  • 16. Algorithm LDA, k-NN, GMM, SVM, Decision Tree Algorithm. LDA (Linear Discriminant Analysis):-  Used in statistics, pattern recognition and machine learning to find a linear combination of features.  LDA is closely related to regression analysis.  Few mathematical methods like Probability Density Function, Co-variance and mean for 2-class data. 16
  • 17. Databases  Data recorded has to be matched with person data.  First database was created FAU Aibo Emotion Corpus for CEICES (Combining Efforts for Improving automatic Classification of Emotional user Status). 17
  • 18. Applications • By using the mind-reading system the bankruptcy can be predicted. • It has its application in facial reading. • “It also helps the paralytic patients.” 18
  • 20. Advantages  It can be implemented on the wheel-chair and the wheel-chair can be moved through the mind control.  This will aid the spacewalking astronauts and physically disabled persons.  Predicting future dangerousness more generally. We are closer than ever to the crime-prediction technology of Minority Report. 20
  • 21. Disadvantages  Before implementing the systems the scientists need to train the systems about all the patterns to predict the result. 21
  • 22. 22