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Gestures

There are two different types of gestures defined:

1. A deterministic gesture which tracks movement and uses Finite State Automata to recognize simple gestures
2. A non-deterministic gesture which makes use of statistical methods and artificial intelligence to recognize more complex gestures (Hidden Markov Models)

The principal component of the recognizer is the Gesture class. The individual gestures are extensions of this class. Any gesture can be defined using the finite state automata approach or the Hidden Markov Model approach.

The Wii3D System detects up to four points, and the number of points used for each gesture has been linked to the intensity of the gesture. For example, a pan gesture using four fingers will have more impetus than a pan gesture using just two fingers. Due to the pairwise recognition of gestures, this is inherently taken care of by the Wii3D System.

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