Virtual Grasping for Virtual Assembly Tasks

Abstract

Intuitive and natural interactions are key aspects of virtual assembly applications. In this paper, we present intuitive virtual hand interactions with parts, subassemblies and tools. Grasping patterns are developed based on the abstraction of various mechanic shapes, kinematics model of virtual hand is built upon the anatomic structure of the human hand to guarantee motion realism, and real-time collision detection scheme is used to identify whether the current finger configuration matches a specific grasping pattern. Experiments on assembly models with a CyberGlove dataglove show that our virtual grasping scheme works well for virtual assembly tasks.