Toscani, M. and Metzger, A., 2022. A Database of Vibratory Signals from Free Haptic Exploration of Natural Material Textures and Perceptual Judgments (ViPer): Analysis of Spectral Statistics. In: EuroHaptics 2022: International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, 22-25 May 2022, Hamburg, Germany.
Full text available as:
|
PDF
toscani_metzger_2022.pdf - Published Version Available under License Creative Commons Attribution. 4MB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1007/978-3-031-06249-0_36
Abstract
We recorded vibratory patterns elicited by free haptic exploration of a large set of natural textures with a steel tool tip. Vision and audio signals during the exploration were excluded. After the exploration of each sample, participants provided judgments about its perceptual attributes and material category. We found that vibratory signals can be approximated by a single parameter in the temporal frequency domain, in a similar way as we can describe the spatial frequency spectrum of natural images. This parameter varies systematically between material categories and correlates with human perceptual judgements. It provides an estimate of the spectral composition of the power spectra which is highly correlated with the differential activity of the Rapidly Adapting (RA) and Pacinian Corpuscle (PC) afferents.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | This work was supported by Deutsche Forschungsgemeinschaf (DFG, German Research Foundation) – project number 222641018 – SFB/TRR 135. |
Uncontrolled Keywords: | Statistics of natural textures; Materials; Perception; Touch |
Group: | Faculty of Science & Technology |
ID Code: | 37180 |
Deposited By: | Symplectic RT2 |
Deposited On: | 11 Jul 2022 15:34 |
Last Modified: | 11 Jul 2022 15:34 |
Downloads
Downloads per month over past year
Repository Staff Only - |