We present a haptic texture authoring algorithm for synthesizing new virtual textures by manipulating affective properties of existing real textures. Two different spaces are established: “affective space” built from a series of psychophysical experiments and “haptic model space” built on features from tool-surface contact vibrations. Another space, called “authoring space” is formed by merging the two spaces, whereby, features of model space that were highly correlated with affective space become axes of the space. Thus, new texture signal corresponding to any point in authoring space can be synthesized by weighted interpolation of nearest real surfaces in perceptually correct manner.
[1]
Seokhee Jeon,et al.
Data-Driven Rendering of Anisotropic Haptic Textures
,
2016,
AsiaHaptics.
[2]
Heather Culbertson,et al.
Modeling and Rendering Realistic Textures from Unconstrained Tool-Surface Interactions
,
2014,
IEEE Transactions on Haptics.
[3]
Seokhee Jeon,et al.
Evaluating differences between bare-handed and tool-based interaction in perceptual space
,
2016,
2016 IEEE Haptics Symposium (HAPTICS).
[4]
Seokhee Jeon,et al.
Data-Driven Modeling of Anisotropic Haptic Textures: Data Segmentation and Interpolation
,
2016,
EuroHaptics.