Bimanual Inputs Based On Data Gloves

This thesis describes a design of interactive interface with bimanual inputs for virtual reality environment. Utilizing data gloves together with position tracking device, the author has implemented a pattern-matching algorithm for gesture recognition and proposed a finite state machine for semantic mapping. Moreover, a set of flexible, comfortable and efficient gestures are designed for virtual environments. A large-scale virtual reality system usually involves complex display views and large-scale data, and real time response is always preferred. To cope with those problems and give light for the user who uses the gesture input interface, the author designs a 2D virtual hand displayed on the screen to indicate the state of interaction, and the corresponding rules of collision detection. Finally, the thesis depicts the implementation of the proposed methodology.