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CHAPTER 6: Gestures > Implementing Gestures

Implementing Gestures

The Microsoft Kinect SDK does not include a gesture detection engine. Therefore, it is left to developers to define and detect gestures. Since the release of the first beta version of the SDK, a few third-party efforts towards creating a gesture engine have surfaced. However, none has risen to become the standard or accepted tool. Things are likely to remain this way until Microsoft adds its own gesture detection engine to the SDK or make it obvious that it is clearing the way for someone else to do so. This section serves as an introduction to gesture detection development in the hope of providing developers enough to be self-sufficient until a standard set of tool materialize.

Gesture detection can be relatively simple or intensely complex, depending on the gesture. There are three basic approaches to detecting gestures: algorithmic, neural network, and by example. Each of these techniques has its strengths and weaknesses. The methodology a developer may choose will depend on the gesture, needs of your project, time available, and development skill. The algorithmica approach is the most simple and easy to implement, whereas the neural network and exemplar systems are complex and non-trivial.


  

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