Patent ID: 8005257
Filing Date: 2011-08-23
Classification: G06K

Abstract:
1. A method of identifying a human gesture, performed, at least in part, with one or more processors, comprising: providing a time sequence of data related to the human gesture; transforming the time sequence of data into waveforms comprising a right hand waveform and a left hand waveform; extracting features from the waveforms, wherein the extracting step comprises extracting static features from the waveforms including hand position, and dynamic features from the waveforms, including phase and frequency from the right hand waveform and phase and frequency from the left hand waveform; and identifying the human gesture based on the extracted features by comparing one or more of the hand position, phase, and frequency from the right hand waveform and the hand position, phase, and frequency from the left hand waveform to a rule that describes the human gesture,