Data-Driven Texture Rendering with Electrostatic Attraction

Data-Driven Texture Rendering with Electrostatic Attraction
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DOI:
10.1007/978-3-662-44193-0_62
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发表时间:
2014-06
期刊:
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通讯作者:
G. Ilkhani;Mohammad Aziziaghdam;Evren Samur
G. Ilkhani;Mohammad Aziziaghdam;Evren Samur
中科院分区:
其他
文献类型:
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作者:
G. Ilkhani;Mohammad Aziziaghdam;Evren Samur

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在本文中,我们提出了一个数据驱动的触觉渲染方法应用于触觉显示器的基础上静电吸引力。对于逼真的虚拟纹理,使用加速度计收集来自三种材料的表面数据,然后在静电致动触觉显示器上重放。通过心理物理实验,将所提出的数据驱动纹理绘制方法与标准方波激励进行了比较。受试者评价真实的样本和虚拟纹理呈现的两种方法之间的相似性。结果表明,与方波信号相比,用数据驱动方法生成的虚拟纹理与真实的纹理具有显著更高的相似性百分比。此外,所提出的方法导致虚拟模型和真实的材料之间的更高数量的正确匹配。
In this paper, we present a data-driven haptic rendering method applied to a tactile display based on electrostatic attraction force. For realistic virtual textures, surface data from three materials is collected using an accelerometer and then replayed on the electrostatically-actuated tactile display. The proposed data-driven texture rendering method was compared with the standard square wave excitation through a psychophysical experiment. Subjects rated similarities between real samples and virtual textures rendered by both methods. Results show that the virtual textures generated with the data-driven method had significantly higher percentage of similarity with the real textures in comparison to the square wave signal. In addition, the proposed method resulted in higher number of correct matches between virtual models and real materials.