Title : 
Collision detection for a haptic interface
         
        
            Author : 
Yuan, Kui ; Xu, Chun ; Du, Qingxiu ; Fu, Yujin
         
        
            Author_Institution : 
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
         
        
        
        
        
        
            Abstract : 
In this paper, a new collision detection method, which can detect collisions for hand-based haptic interface efficiently, is presented. This method relies on a hybrid bounding volume of oriented bounding box (OBB) and axis-aligned bounding box (AABB) called OBB-AABB. It uses OBB and AABB to bound the sophisticated objects (such as the virtual hand) and the simple objects respectively according to the objects´ characters. This method, based on Liang-Barsky clipping algorithm, has been implemented using a haptic glove. The experiments show that the newly proposed method is suited for detecting collisions between the virtual hand and virtual objects, and that users can get a quite real feeling of force feedback when interacting with the virtual environment using a haptic glove.
         
        
            Keywords : 
collision avoidance; data gloves; force feedback; virtual reality; Liang-Barsky clipping algorithm; axis-aligned bounding box; collision detection; force feedback; haptic glove; haptic interface; hybrid bounding volume; oriented bounding box; virtual hand; virtual objects; Computer graphics; Cost function; Data gloves; Force feedback; Grasping; Haptic interfaces; Object detection; Solid modeling; Testing; Virtual reality;
         
        
        
        
            Conference_Titel : 
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
         
        
            Print_ISBN : 
0-7803-7925-X
         
        
        
            DOI : 
10.1109/RISSP.2003.1285587