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Microexpression Correlator

facial emotion gestural history mapping
 
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This is a system that correlates microexpressions across videos of interviews. It would correlate individual frames of microexpressions on the faces of interview participants across time. The best way to start would probably be with a group of well known people who all know eachother well and of whom there are many close up videos of interviews, and then correlate the microexpressions statistically to see if there is, and then map the history of exchange over time.

The theory would be that people copy emotions from eachother. In my own personal experience of watching myself on video I have noticed that many individual frames look unlike me and very much like people I have known in my past who have had emotional influences on me. If you could correlate this statistically you could get a better picture of how "thoughts" really happen, that they are not original in the way we are conscious of now but are instead traded around in a relatively unconscious economy.

JesusHChrist, Jul 24 2015

Ian Tindale recites EmotionML 5.1.3 Generation of emotion-related system behaviour https://youtu.be/aIzuJKVKwoQ
Ian Tindale recites the passages of prose in http://www.w3.org/TR/emotionml/#s5.1.3 EmotionML 5.1.3 Generation of emotion-related system behaviour: Generation of facial expressions in an MPEG-4 face model. [Ian Tindale, Jul 24 2015]

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       I'd probably start with words rather than microexpressions. Words often correlate more or less with what people are thinking.
MaxwellBuchanan, Jul 24 2015
  

       Your naivety is touching.
pocmloc, Jul 24 2015
  

       Thank you. I didn't get where I am today.
MaxwellBuchanan, Jul 24 2015
  

       Ah! So _that's_ where it went! I'll call [8th] - time to test out Tactical Tapas No. 74.
MaxwellBuchanan, Jul 24 2015
  
      
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