Techniques for detecting and classifying motion of a human subject are generally described. More particularly, techniques are described for detecting and classifying motion as either a broad selection or a precise selection to facilitate interaction with augmented reality (AR) systems. An example may include detecting a motion of human and repeatedly analyzing a step response associated with the motion to determine one or more of a peak time tp, an estimated overshoot magnitude Mp, a damping ratio zeta of the step response and/or one or more polynomial poles of the step response. Such information may be useful in classifying the motion as either a precise selection or as a broad selection.
Selective motor control classification