Polar Motion Profile

A Polar Motion Profile (PMP) is a computational technique used in sign language detection that models the quantity and distribution of motion relative to a detected face using polar coordinates. The method captures the characteristic hand and arm movements associated with signing by measuring the angular and radial distribution of foreground activity (detected via background subtraction) around each face in a video frame. The resulting feature vector — typically 460 elements representing 360 angular and 100 radial coordinates — provides a translation- and scale-invariant representation of signing activity that can be classified by machine learning algorithms to distinguish sign language videos from non-sign-language content.