Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:D3L-C
Session:
Number:D3L-C3
Application of the NonlinearWave Metric for Gesture Classification and Gesture Control
Andras Paly, Domonkos Huszar, Lorant Kovacs, Andras Horvath,
pp.866-869
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
The appearance of intelligent motion sensors and disruptive technologies (like theWii-controller [1] and Kinect [2]) have revolutionized computer interfaces in gaming in the past decade. However, this revolution restricts itself to the gaming world and these controllers and interfaces are not widely used in other applications. One of the reasons behind this hindrance is the lack of natural and easy to learn gestures and controls. The gestures used by these devices can only be used e?ciently if they fit the application framework and can be applied without a long and tedious learning process. Most of the applied learning methods can not be used because comparison of trajectories and spatial-temporal characteristics are very diｆｆerent from image comparison. In this paper we show how trajectories can be learnt and classified using the non-linear wave metrics and the Leap Motion controller.