The document discusses a mind reading machine that uses techniques from neuroscience and computer science to analyze human psychology. It describes facial affect detection methods like facial electromyography and galvanic skin response that are used to gather physiological data. Machine learning algorithms like LDA and k-NN are then used to analyze the data and predict emotions. While this technology could enable assistive devices, it also raises privacy concerns if brains were tapped to predict future behaviors. In conclusion, the mind reading machine has benefits but also drawbacks like any new invention.

1. Presented By:
Mrinal
Regd. No.: 1105209029

2. Content:
1.Introduction
2.Neuroscience
3.Technique
A.1. Facial Affect Detection
2. Emotional Classification
3. Facial Electromyography
4. Galvanic Skin Response
5. Blood Volume Pulse

3. B.1. Algorithm
2. Databases
4. Uses and Problems
5. Conclusion
6. Reference

4. Introduction:
1.Mind Reading Machine is a co-
ordination of human psychology
and computer techniques.
2.Some equipments are used to
gather data , and then analyzed.
3.To use those data for further
prediction is known as theory of
mind or mind-reading.

5. MIND READING MACHINE

6. The Magic Of Mind Reading Machine

7. Neuroscience:
1.It deals with anatomy and
molecular biology of neurons.
2.A neuron is a nerve cell that is the
basic building block of the nervous
system.Neurons are specialized to
transmit information throughout
the body.
3.It is done by measuring oxygen
level of blood using FNIRS.

8. Techniques:
Facial Affect Detection
It is done using hidden Markov
Model, Neural Network processing or
active appearance model.
Emotional Classification
Classification by Paul Ekman Anger,
Fear, Happiness,Disgust ,Sadness,
Surprise.

9. Facial Electromyography
It is used to measure the electrical
activity of the facial muscles.
Muscles used are “corrugator
supercilii muscle” and others.
Galvanic Skin Response
It is a measure of skin conductivity,
which is dependent on how moist
the skin is.

10. Blood Volume Pulse
It is measured by a process called
photoplethysmography.
It produces a graph indicating
blood flow through the extremities.

12. Algorithm
LDA, k-NN, GMM, SVM, Decision Tree
Algorithm.
LDA (Linear Discriminant Analysis):-
1. Used in statistics , pattern recognition
and machine learning to find a linear
combination of features.
2. LDA is closely related to regression
analysis.

13. 3. Few mathematical methods like-
Probability Density Function , Co-
variance and mean for 2-class data.
Application:
Prediction of Bankruptcy ,facial
recognition , Marketing.

14. Databases
Data recorded has to be matched
with subject’s data.
First data base was created FAU
Aibo Emotion Corpus for CEICES
(Combining Efforts for Improving
Automatic Classification of
Emotional User States).

15. Uses:
1.Mind controlled wheel chair
2.Lie Detector etc.
Problems:
1.Tapping Brains for Future Crimes
2.No more privacy

16. Conclusion:
As every invention has its own pros
and cons, so the “Mind Reading
Machine” is not an exception.
The “Mind Reading Machine” is
certainly a revolutionary invention,
and will surely add a chapter to the
invention of beneficiary machines
for human race.

17. References:
>www.eurescom.de/message/defa
ult_Dec2004.asp
>www.newscientist.com/article/dn
4795-nasa-develops-mindreading-
system
>www.wikipedia.org
>www.cns.nyu.edu/~david