Data-driven rendering of anisotropic haptic textures

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Abstract

It is common to interact with a wide range of surfaces with anisotropic haptic textures in our daily life. However, the rendering techniques were not capable of incorporating the directional grain in a virtual world. In our previous work, we have proposed a data-driven model for anisotropic haptic textures, which stores and interpolates contact vibration patterns. In this paper, we have developed a complementary rendering algorithm. This algorithm has been implemented in form of a cross-platform computing library, and deployed to the tablet-PC-based demonstration setup. A set of eight anisotropic and one isotropic textures is prepared for the demonstration. Two demonstration scenarios have been provided for the realism evaluation.

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Abdulali, A., & Jeon, S. (2018). Data-driven rendering of anisotropic haptic textures. In Lecture Notes in Electrical Engineering (Vol. 432, pp. 401–407). Springer Verlag. https://doi.org/10.1007/978-981-10-4157-0_67

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