Motion leap compared to data gloves in human hand tracking

Abstract

The paper presents a comparative analysis of current methods for capturing human hand gestures and using then the results in virtual reality environments as a mean of direct, non-intrusive interaction between human and computer. Compared to the methods which are using different data gloves, the Motion Leap device enables new ways of interactions that are not intrusive. In this paper a system is developed that uses Motion Leap to capture human hand poses and recognize gestures, the results of the analysis being sent to a virtual reality environment for further, task-oriented high level processing.