A Database of Vibratory Signals from Free Haptic Exploration of Natural Material Textures and Perceptual Judgments (ViPer): Analysis of Spectral Statistics
Authors: Toscani, M. and Metzger, A.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 13235 LNCS
Pages: 319-327
eISSN: 1611-3349
ISSN: 0302-9743
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.
https://eprints.bournemouth.ac.uk/37180/
Source: Scopus
A Database of Vibratory Signals from Free Haptic Exploration of Natural Material Textures and Perceptual Judgments (ViPer): Analysis of Spectral Statistics
Authors: Toscani, M. and Metzger, A.
Journal: HAPTICS: SCIENCE, TECHNOLOGY, APPLICATIONS, EUROHAPTICS 2022
Volume: 13235
Pages: 319-327
eISSN: 1611-3349
ISBN: 978-3-031-06248-3
ISSN: 0302-9743
DOI: 10.1007/978-3-031-06249-0_36
https://eprints.bournemouth.ac.uk/37180/
Source: Web of Science (Lite)
A Database of Vibratory Signals from Free Haptic Exploration of Natural Material Textures and Perceptual Judgments (ViPer): Analysis of Spectral Statistics.
Authors: Toscani, M. and Metzger, A.
Conference: EuroHaptics 2022
Dates: 22-25 May 2022
Journal: Haptics: Science, Technology, Applications. EuroHaptics 2022. Lecture Notes in Computer Science, vol 13235. Springer, Cham.
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.
https://eprints.bournemouth.ac.uk/37180/
Source: Manual
A Database of Vibratory Signals from Free Haptic Exploration of Natural Material Textures and Perceptual Judgments (ViPer): Analysis of Spectral Statistics.
Authors: Toscani, M. and Metzger, A.
Conference: EuroHaptics 2022: International Conference on Human Haptic Sensing and Touch Enabled Computer Applications
ISBN: 978-3-031-06249-0
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.
https://eprints.bournemouth.ac.uk/37180/
Source: BURO EPrints