Continuous Gesture Recognition System Using Improved HMM Algorithm Based on 2D and 3D Space
In this paper, the authors explain a study on Natural User Interface (NUI) in human gesture recognition using RGB color information and depth information by Kinect camera from Microsoft Corporation. To achieve the goal, hand tracking and gesture recognition have no major dependencies of the work environment, lighting or users' skin color, libraries of particular use for natural interaction and Kinect device, which serves to provide RGB images of the environment and the depth map of the scene were used. An improved Camshift tracking algorithm combined with depth information is used to tracking hand motion, and then an associative method of HMM and FNN is propose for gesture recognition step.
Provided by: Science and Development Network (SciDev.Net) Topic: Software Date Added: Apr 2012 Format: PDF