System and method for automatically defining and identifying a gesture

摘要

A system and method for creating a gesture and generating a classifier that can identify the gesture for use with an application is described. The designer constructs a training set of data containing positive and negative examples of the gesture. Machine learning algorithms are used to compute the optimal classification of the training data into positive and negative instances of the gesture. The machine learning algorithms generate a classifier which, given input data, makes a decision on whether the gesture was performed in the input data or not.

主权项

1. A method comprising:
recording test sequences of one or more users performing examples of sequences; recording a training set of gestures; marking the training set of gestures by:
marking examples of a correct performance of the gesture as positive examples; andmarking examples of an incorrect performance of the gesture as negative examples; and applying a machine learning algorithm to the marked training set to generate a classifier to determine if movements not included in the training set of gestures is similar to a positive example; testing the classifier on the test sequences to detect a predetermined number of false positives and false negatives, wherein the test sequences are distinct from the training set of gestures.