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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdulali, A., Jeon, S.: Data-driven modeling of anisotropic haptic textures: data segmentation and interpolation. In: International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, pp. 228–239. Springer (2016)
Culbertson, H., Unwin, J., Kuchenbecker, K.: Modeling and rendering realistic textures from unconstrained tool-surface interactions. IEEE Trans. Haptics 7(3), 381–393 (2014)
Culbertson, H., Delgado, J.J.L., Kuchenbecker, K.J.: One hundred data-driven haptic texture models and open-source methods for rendering on 3d objects. In: 2014 IEEE Haptics Symposium (HAPTICS), pp. 319–325. IEEE (2014)
Erkelens, J.S.: Autoregressive modeling for speech coding: estimation, interpolation and quantization. Chapter 4: Spectral Interpolation. TU Delft, Delft University of Technology (1996)
Saga, S., Deguchi, K.: Lateral-force-based 2.5-dimensional tactile display for touch screen. In: 2012 IEEE Haptics Symposium (HAPTICS), pp. 15–22. IEEE (2012)
Shin, S., Osgouei, R., Kim, K.D., Choi, S.: Data-driven modeling of isotropic haptic textures using frequency-decomposed neural networks. In: World Haptics Conference (WHC), 2015 IEEE, pp. 131–138 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Abdulali, A., Jeon, S. (2018). Data-Driven Rendering of Anisotropic Haptic Textures. In: Hasegawa, S., Konyo, M., Kyung, KU., Nojima, T., Kajimoto, H. (eds) Haptic Interaction. AsiaHaptics 2016. Lecture Notes in Electrical Engineering, vol 432. Springer, Singapore. https://doi.org/10.1007/978-981-10-4157-0_67
Download citation
DOI: https://doi.org/10.1007/978-981-10-4157-0_67
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4156-3
Online ISBN: 978-981-10-4157-0
eBook Packages: EngineeringEngineering (R0)