A simple easy to read overview of why I love emotion recognition.

1. Emotion
recognition...what it is...and why I love it
Cassandra Oduola • Sept 2016

2. “The most
important question
of life are indeed,
for the most part,
really only
problems of
probability.”
~Laplace

3. Probability is the likelihood
an event will occur
quantified between 0 & 1.

4. Probability Theory:
Analysis of random
phenomena such
as stochastic
events

5. What is Random?

6. Water
People
Weather

7. People Water Weather

8. People Water Weather

9. I started my journey modeling turbulence

10. How does turbulence move?
Can be abstracted to the path of each particle in relation to time.
In physics we call this the uncertainty principle

11. In prob theory: Conditional probability P(A|B)

12. I realized this can be applied to other fields

13. “If you cannot measure it you cannot manage it.
Affect, like weather, is hard to measure; and like
weather, it probably cannot be predicted with
perfect reliability. But, if we can do significantly
better than random, then people will at least be less
likely to get caught in a thunder-storm without an
umbrella.”

14. Predicting Emotions

15. Why is emotion recognition hard?

16. Do you know your emotional patterns?

17. Some emotions are easier to quantify than
others:
Happy, Sad, Angry
But what about Righteousness? Loathing?
Intrigue?

18. Furthermore what is the order of these
emotions?
(Angry → Happy ) Unlikely (Bipolar?)
(Surprised → Happy) Very likely

19. Happy Sad
Fear
We need the probability of when an
emotion will occur as well as a
quantification of each emotion.