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SENS3: Multisensory Database of Finger-Surface Interactions and Corresponding Sensations

Abstract: The growing demand for natural interactions with technology underscores the importance of achieving realistic touch sensations in digital environments. Realizing this goal highly depends on comprehensive databases of finger-surface interactions, which need further development. Here, we present SENS3, an extensive open-access repository of multisensory data acquired from fifty surfaces when two participants explored them with their fingertips through static contact, pressing, tapping , and sliding. SENS3 encompasses high-fidelity visual, audio, and haptic information recorded during these interactions, including videos, sounds, contact forces, torques, positions, accelerations, skin temperature , heat flux, and surface photographs. Additionally, it incorporates thirteen participants' psychophysical sensation ratings while exploring these surfaces freely. We anticipate that SENS3 will be valuable for advancing multisensory texture rendering, user experience development, and touch sensing in robotics. 

How to cite the paper:

Jagan K. Balasubramanian*, Bence L. Kodak*, and Yasemin Vardar. SENS3: Multisensory Database of Finger-Surface Interactions and Corresponding Sensations, arXiv, 2024, doi:10.48550/arXiv.2401.01818

@misc{balasubramanian2024sens3,

      title={SENS3: Multisensory Database of Finger-Surface Interactions and Corresponding Sensations}, 

      author={Jagan K. Balasubramanian and Bence L. Kodak and Yasemin Vardar},

      year={2024},

      eprint={2401.01818},

      archivePrefix={arXiv},

      primaryClass={cs.HC}

}