Title :
View invariant hand gesture recognition using 3D trajectory
Author :
Yuan, Ruifeng ; Cheng, Jun ; Li, Pengcheng ; Chen, Guang ; Xie, Can ; Xie, Qi
Abstract :
In this paper we propose a view invariant hand gesture recognition algorithm based on the assumption that the gesture trajectory is almost in a plane, which we call principal gesture plane. We use Least Squares Method to estimate the plane and project the 3D trajectory onto it. The viewpoint-dependent problem is solved by the projection. HMMs are chosen to model the gestures. We have evaluated the algorithm with two experiments from different viewpoints. The results are promising with average recognition rate at 93.4% and 93.7%.
Keywords :
computer graphics; gesture recognition; hidden Markov models; least squares approximations; 3D trajectory; hidden Markov model; least squares method; principal gesture plane; view invariant hand gesture recognition algorithm; viewpoint dependent problem; Cameras; Classification algorithms; Gesture recognition; Hidden Markov models; Three dimensional displays; Training; Trajectory; 3D hand gesture; HMM; gesture recognition; view invariant;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554362
