Tactile perception of randomly rough surfaces

Sahli, Riad; Prot, Aubin; Wang, Anle; Müser, Martin H.; Piovarči, Michal; Didyk, Piotr; Bennewitz, Roland

doi:10.1038/s41598-020-72890-y

Cited by 22 publications

(20 citation statements)

References 47 publications

(71 reference statements)

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“…For example, a group of tribology researchers 3D printed surface textures with random topography, and their stimuli were very similar to ours. Their recent paper reported a low discrimination ability in human observers (45), which is also consistent with our results and theory.…”

Section: Relationship With Roughness Perceptionsupporting

confidence: 93%

“…With these stimuli, it is not easy to examine the contribution of higher-order surface statistics separately from those of lower-order ones. To overcome this limitation, we rendered complex haptic stimuli using a high-resolution 3D printer, as done by a few recent tactile studies (e.g., (44)(45)(46)). By printing the surface of a sample material with the 3D printer, we transcribed complex texture patterns into carving patterns of tangible surface (Fig.…”

Section: Introductionmentioning

confidence: 99%

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The roles of lower- and higher-order surface statistics in tactile texture perception

Kuroki¹,

Sawayama²,

Nishida

2021

Journal of Neurophysiology

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Humans can haptically discriminate surface textures when there is a significant difference in the statistics of the surface profile. Previous studies on tactile texture discrimination have emphasized the perceptual effects of lower-order statistical features such as carving depth, inter-ridge distance, and anisotropy, which can be characterized by local amplitude spectra or spatial-frequency/orientation subband histograms. However, the real-world surfaces we encounter in everyday life also differ in the higher-order statistics, such as statistics about correlations of nearby spatial-frequencies/orientations. For another modality, vision, the human brain has the ability to utilize the textural differences in both higher- and lower-order image statistics. In this work, we examined whether the haptic texture perception can utilize higher-order surface statistics as visual texture perception does, by 3D-printing textured surfaces transcribed from different 'photos' of natural scenes such as stones and leaves. Even though the maximum carving depth was well above the haptic detection threshold, some texture pairs were hard to discriminate. Specifically, those texture pairs with similar amplitude spectra were difficult to discriminate, which suggests that the lower-order statistics have the dominant effect on tactile texture discrimination. To directly test the poor sensitivity of the tactile texture perception to higher-order surface statistics, we matched the lower-order statistics across different textures using a texture synthesis algorithm and found that haptic discrimination of the matched textures was nearly impossible unless the stimuli contained salient local features. We found no evidence for the ability of the human tactile system to use higher-order surface statistics for texture discrimination.

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Section: Relationship With Roughness Perceptionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

The roles of lower- and higher-order surface statistics in tactile texture perception

Kuroki¹,

Sawayama²,

Nishida

2021

Journal of Neurophysiology

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“…Surface roughness and texture are two essential attributes influencing haptic impression and thus judgment of material composition, slipperiness, and comfort. [31,32] A rough surface can be described by a multitude of independent parameters emphasizing different characteristics related to amplitude and spatial distribution of the height profile. In many applications, surface roughness is described only as the arithmetical mean height S a or the root mean square height S q .…”

Section: Haptic Surface Impressionmentioning

confidence: 99%

Customizing Tactile and Visual Perceptions of Organic Light–Emitting Diodes by Surface Coatings

Buhl

Cojocaru²,

Gerken

2021

Advanced Intelligent Systems

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Organic light‐emitting diodes (OLEDs) offer novel and unique possibilities for illumination. The realization of transparent and flexible devices facilitates integration in everyday objects such as windows, clothing, or packaging labels, while posing new challenges to product engineering. Innovative OLED light sources, fulfilling multiple purposes additional to lighting, are likely to be touched and consciously observed far more frequently than conventional illuminants. Herein, a polymer coating used to customize tactile and visual perceptions of OLED substrate surfaces is demonstrated. Tetrapodal zinc oxide particles and color pigments are incorporated in a poly(methyl methacrylate) matrix to modify surface roughness and color impression of the coating. Variation of the particle content and composition yields different combinations of roughness characteristics, thus altering tactile surface perception and light scattering. Utilization of color pigments exhibiting low transmission dispersion allows for changes of the coating color while maintaining the original OLED emission color. The presented coating concept is expected to be a promising approach to adjust haptic and optical device properties to specific application requirements while maintaining spectral OLED emission characteristics.

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“…For the dynamic touch, the accepted threshold for the detection of the feature is in the micron range [ 12 ]. Sahli et al [ 14 ] highlight that the tactile perception of similarity between surfaces is governed by the statistical microscale roughness rather than by their topographic resemblance, in contrast with the visual perception, which is dominated by the surface height topographic resemblance.…”

Section: Introduction and Backgroundmentioning

confidence: 99%

Experiencing the Untouchable: A Method for Scientific Exploration and Haptic Fruition of Artworks Microsurface Based on Optical Scanning Profilometry

Mazzocato

Daffara

2021

Sensors

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The experience of an object derives not only from the sight but also from the touch: a tactile exploration can reveal the smallest information trapped within the surface up to our tactile detective threshold. Starting from the importance of this observation in the case of works of art, this research demonstrates the use of conoscopic holography sensors for high-quality acquisition of the surface of artworks (up to the micro-scale) suitable also to 3D printing. The purpose is twofold, allowing for the tactile use of the artwork, which is otherwise impossible, for visually impaired people and for new use in regard to scientific information purposes. In detail, the workflow to obtain a 3D printed replica of multiscale and polychrome artworks suitable for the haptic fruition is validated, but the potential of the tool as an innovative resource for scientific visualization of the microsurface of the artwork for conservation issues is also demonstrated. The validation was performed on notable Italian masterpieces, such as Donatello’s “Death Cristh” bronze relief in Padua and the Tintoretto painting “St. Martial in Glory with the Saints Peter and Paul” in Venice.

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Tactile perception of randomly rough surfaces

Cited by 22 publications

References 47 publications

The roles of lower- and higher-order surface statistics in tactile texture perception

The roles of lower- and higher-order surface statistics in tactile texture perception

Customizing Tactile and Visual Perceptions of Organic Light–Emitting Diodes by Surface Coatings

Experiencing the Untouchable: A Method for Scientific Exploration and Haptic Fruition of Artworks Microsurface Based on Optical Scanning Profilometry

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