GESTURE RECOGNITION WITH PRINCIPAL COMPONENT ANAYSIS

摘要

A system and method for identifying a position of a moving object, utilizing sensors arranged in any arbitrary configuration, is provided. A pre-processing method is applied to permit implementation on a low power computing device, such as a microcontroller. The preprocessing creates a set of training data corresponding to different gestures, based on different positions of moving objects. Accordingly, utilizing the training data, different types of gestures can be classified by comparing a sensed signal to the set of training gestures.