Title :
Study on Virtual Assembly System Based on Kinect Somatosensory Interaction
Author :
Hongjian Liao ; Xiaoli Long
Author_Institution :
Lab. Center & Network Center, Guangzhou Univ., Guangzhou, China
Abstract :
To improve the efficiency of interaction and user experience in desktop-based Virtual Assembly System (VAS), this paper is proposed to establish low-cost but strong immerse virtual assembly experiment system using Kinect and Unity3D engine. For the purpose of employing body motion, gesture and voice to accomplish interaction tasks, establishing assembly model data, hand gesture recognition and changing virtual assembly scene view by body motion were three key issues, so "treelike hierarchy modeling", "gesture semantics extension" and "multidimensional head tracking" methods were proposed accordingly, and the implementation process was discussed. A Speed Reducer Virtual Assembly System (SRVAS) was designed and realized by these methods, and practical results show that the method of gesture recognition has a good accuracy and robustness, and is almost unaffected by light and complex background. Kinect somatosensory interaction can improve interaction efficiency and enhance user immersion with low-cost in 3D virtual system.
Keywords :
gesture recognition; image sensors; 3D virtual system; Kinect somatosensory interaction; SRVAS; Unity3D engine; assembly model data; body motion; desktop-based virtual assembly system; gesture semantics extension; hand gesture recognition; immerse virtual assembly experiment system; multidimensional head tracking methods; speed reducer virtual assembly system; treelike hierarchy modeling; user experience; user immersion; virtual assembly scene view; Assembly; Assembly systems; Gesture recognition; Head; Semantics; Solid modeling; Three-dimensional displays; Kinect; gesture recognition; somatosensory interaction; user experience; virtual assembly system;
Conference_Titel :
Information Science and Cloud Computing (ISCC), 2013 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4799-4968-7
DOI :
10.1109/ISCC.2013.29