The Haptic Texture Library

As the lack of haptic contents is one of the limitations of current haptics technology, this research aims at developing a hardware and software framework for efficient haptic model building based on actual measurement data. In this work, we develop and integrate data-driven haptic contents modeling methods for stiffness, friction, and surface texture, and construct The Haptic Library. Then, we seek new perception- and image-based techniques to automatically assign the acquired models to 3D mesh models.

Researchers: Waseem Hassan, Arsen Abdulali, and Seokhee Jeon

The Haptic Library consists of one hundred textures from everyday life, commonly encountered during daily interactions. Each texture comes with data-driven models of its haptic properties, organised in three sub-libraries:

• Haptic Texture Library: data-driven surface texture models
• Haptic Stiffness Library: data-driven stiffness models
• Haptic Friction Library: data-driven friction models

The complete library holds the 100 texture models with a photo of each surface, and the friction and stiffness models. The code assigns a library model to a new image texture (MATLAB; see Readme.txt inside).

• Waseem Hassan, Arsen Abdulali, Muhammad Abdullah, Sang Chul Ahn, and Seokhee Jeon, "Towards Universal Haptic Library: Library-Based Haptic Texture Assignment Using Image Texture and Perceptual Space," IEEE Transactions on Haptics, vol. 11, no. 2, 2018.
• Waseem Hassan and Seokhee Jeon, "Evaluating Differences Between Bare-handed and Tool-Based Interaction in Perceptual Space," 2016 IEEE Haptics Symposium (HAPTICS), 2016.
• "Towards Universal Haptic Library: Library-Based Haptic Texture Assignment Using Image Texture (A Demo)," demonstration paper.