A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
The aim of this paper is to explore and recognize hand gestures against complex backgrounds and lighting conditions. Mostly, previous approaches use off-line recognition for the hand motion, which make any gesture system not realistic and not suitable for on-line applications. Furthermore, 3D dynamic features are further extracted from the hand gesture path based on stereo strategy. Thus, the extracted features of dynamic affine-invariants such as location, orientation and velocity are deriveddoi:10.14257/ijmue.2016.11.11.33 fatcat:visz64n3gvbsrbk53a5krtzlqy