以線性過濾原理及類神經網路理論為基礎使用複雜振動模擬表面紋理感受之方法

近年來，虛擬實境技術已成為重要的產品設計工具。由於它能提供使用者一個直覺且投入其中的設計環境，透過此技術，設計者能做到快速產品設計，工程師也能採用與過去不同的方法來解決問題。然而，為了呈現人與虛擬物體間真實的互動感覺，逼真的觸覺回饋是不可或缺的。許多前人的研究著重在力回饋系統上。另一方面，其他的觸覺回饋，尤其是表面材質的觸覺感受，還沒有被充分考慮。本研究的目的是試著發展一套能用來模擬一般表面紋理的觸覺感受的振動合成方法，此方法是根據線性過濾原理以及類神經網路理論所建構。本研究依據此方法實做了一模型系統，並經過測試。此系統採用一微型喇叭來產生複雜的振動，而此微型喇叭的尺寸夠小，因此具有嵌入手套或是直接和手套型回饋裝置作結合的可能性。研究結果顯示，由於此方法的簡易性，各式各樣的材質表面都可輕易的模擬。最後，在論文中也對此系統做了使用者測試的研究，其結果顯示，利用此方法模擬對於表面材質感受的增進具有正面顯著的效果。

關鍵字

虛擬實境；表面紋理感受；觸覺回饋裝置；振動合成方法；類神經網路；微型喇叭

並列摘要

In recent years, Virtual Reality technology has become an important tool for product design. VR technology can be used to create immersive and intuitive design environments in which designers can create virtual prototypes and perform tasks in new ways. However, to simulate realistic interactions between humans and virtual objects, high quality haptic feedback is needed. Many prior studies describe force feedback systems. On the other hand, tactile feedback, especially surface texture feedback, has not been considered thoroughly. Prior systems only use simple vibrations with different amplitudes or frequencies to represent different surface types. This study presents a vibration synthesis method that can be used to create surface texture sensations for general textured surfaces. The method is based upon linear filtering and Neural Network theories. A prototype system was built and tested. The system uses a micro speaker to create complex vibrations. The speaker is small enough to be embedded or integrated into a haptic glove. Results show that the method can be used to simulate a wide variety of surface textures. In user tests, the system had a significant positive effect on surface texture perception.

並列關鍵字

Virtual Reality ； surface texture perception ； haptic devices ； vibration synthesis method ； Neural Network, micro speaker

參考文獻

[32] 高仰逸, 2010, "應用類神經網路於Wii Remote紅外線單點追蹤之研究," Applying Artificial Neural Network to Track An Infrared Point by Using Wii Remote, Master thesis, 臺灣大學.

[6] C. W. Borst and A. P. Indugula, "A spring model for whole-hand virtual grasping," Presence: Teleoperators & Virtual Environments, 15, pp. 47-61, 2006.

[7] R. Zajtchuk and R. M. Satava, 1997, "Medical applications of virtual reality," Communications of the ACM, 40(9), pp. 63-64.

[8] M. Folgheraiter, G. Gini, and D. Vercesi, 2008, "A Multi-Modal Haptic Interface for Virtual Reality and Robotics," Journal of Intelligent and Robotic Systems: Theory and Applications, 52(3-4), pp. 465-488.

[9] M. Folgheraiter, I. Baragiola, and G. Gini, 2004, "Teaching grasping to a humanoid hand as a generalization of human grasping data," Knowledge Exploration in Life Science Informatics, 3303, pp. 139-150.

國際替代計量

以線性過濾原理及類神經網路理論為基礎使用複雜振動模擬表面紋理感受之方法

全文下載

主題瀏覽