Systems and methods of identifying a gesture using gesture data compressed by principal joint variable analysis

1) A method of identifying a gesture of a subject based on self-referenced gesture data compressed by principal joint variable analysis, the method comprising:

• receiving, by a classifier of a system, a frame comprising a set of gesture data points, each gesture data point identifying a location of a part of a body of a subject with respect to a reference point on the body of the subject;
• determining, by the classifier, that a subset of the set of gesture data points is sufficient to recognize a first gesture;
• storing, into a database of the system, the subset in reference to the first gesture;
• receiving, by a recognizer of the system, a new frame of new gesture data points, each new gesture data point identifying a location of a part of a body of a new subject with respect to a reference point on the body of the new subject;
• and
• recognizing, by the recognizer, that the gesture of the new subject corresponds to the first gesture responsive to comparing at least one new gesture data point from the new frame to at least one gesture data point of the subset.