In this repository is available a virtual haptic information dataset, generated from typycal household objects. This information is based in local curvatures of the virtual objects and captured by the simulation of 3 fingers aproaching to the 3D figures.
The objects used as stimuli of this dataset have been drawn from ShapeNet, an online 3D figures dataset. Specifically, we use 10 different figures: a bowl, a camera, a paper clip, a fork, a hammer, a computer mouse, a pair of scissors, a spoon, a wristwatch and a bottle of wine.
The dataset is contained in the folder shapenet_data/ and distributed in a txt file per figure, named as the corresponding object (e.g. bowl.txt). Each txt file contains 21000 lines, where each line is a sample formed by the 3 floats of time (e.g. 0 0.01 0.109).
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan,Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song,Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu. ShapeNet: An Information-Rich 3D Model Repository. Technical Report arXiv:1512.03012 [cs.GR],Stanford University — Princeton University — Toyota TechnologicalInstitute at Chicago, 2015.