Emotion recognition...what it is...and why I love it

Cassandra Oduola • Sept 2016

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

Probability is the likelihood an event will occur

quantified between 0 & 1.

Probability Theory: Analysis of random phenomena such as stochastic events

What is Random?

Water

People

Weather

People Water Weather

People Water Weather

I started my journey modeling turbulence

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

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

I realized this can be applied to other fields

“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.”

Predicting Emotions

Why is emotion recognition hard?

Do you know your emotional patterns?

Some emotions are easier to quantify than others:Happy, Sad, Angry

But what about Righteousness? Loathing? Intrigue?

Furthermore what is the order of these emotions?

(Angry → Happy ) Unlikely (Bipolar?)

(Surprised → Happy) Very likely

Happy Sad

Fear

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