Machine Learning Allows Actors To Create Games That Understand Body Language

ptresset writes "Goldsmiths college is developing technology with natural responses to human interaction. The technology enables video games characters to move in a more natural way, responding to the player's own body language rather than mathematical rules. The hypothesis is that the actors' artistic understanding of human behavior will bring an individuality, subtlety and nuance to the character that it would be difficult to create in hand-authored models."

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Re:Question

[hazem]

A non-machine learning method would entail specifying a set of reactions for the set of inputs. If A then B, and if C then D... the hardcoding the relationships between the inputs and outputs. Machine learning, on the other hand, involves the computer program going through a pile of data and determing the relationships between inputs and outputs.

This problem is probably well suited to the technique because there are so many possible inputs and many nuanced outputs. In that situation, it's difficult if not impoossible to construct a programatic flow-chart that will perform well.

There's tons of material on the web now to help teach about these methods, like Coursera.com's courses in AI, Machine Learning, and even Probabalistic Graphical Models..