A Texture Perception Simulation Method Using Complex Vibrations Based on Linear Filtering Principles and Neural Network Theory
Date Issued
2011
Date
2011
Author(s)
Lee, Ji-Liang
Abstract
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.
Subjects
Virtual Reality
surface texture perception
haptic devices
vibration synthesis method
Neural Network, micro speaker
Type
thesis
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