Effect of fabric sound and touch on human subjective sensation

Cho, Gilsoo; Casali, John G.; Yi, Eunjou

doi:10.1007/bf02875345

Cited by 21 publications

(14 citation statements)

References 5 publications

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“…Within this research area, the role of auditory information in the subjective evaluation of fabrics has been assessed in a series of studies on the effects of sound on hand-feel properties (Cho et al 2001(Cho et al , 2005. In Cho et al (2001), a set of psychophysical experiments was presented concerning the characteristics of frictional sounds produced by interaction with fabrics, and their effect on the perceived quality of fabrics.…”

Section: Perception Of Deformable Materialsmentioning

confidence: 99%

“…In Cho et al (2001), a set of psychophysical experiments was presented concerning the characteristics of frictional sounds produced by interaction with fabrics, and their effect on the perceived quality of fabrics. Among various fabric-sound features, the sound "level range" L was found to exhibit a positive correlation with perceived softness and pleasantness.…”

Section: Perception Of Deformable Materialsmentioning

confidence: 99%

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Multisensory Softness

2014

Springer Series on Touch and Haptic Systems

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Section: Perception Of Deformable Materialsmentioning

confidence: 99%

Section: Perception Of Deformable Materialsmentioning

confidence: 99%

Multisensory Softness

2014

Springer Series on Touch and Haptic Systems

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“…Cho et al [2001; performed experimental studies concerning the characteristics of frictional sounds and how they affect the perceived qualities of fabrics. Huang et al [2003] synthesized sounds for a stylus being rubbed over a cloth patch using a modal model driven by measured roughness profiles.…”

Section: Related Workmentioning

confidence: 99%

Motion-driven concatenative synthesis of cloth sounds

James

Marschner

2012

TOG

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Figure 1: Our data-driven approach to synthesizing cloth sounds is able to produce soundtracks for a wide range of common cloth animation scenarios. In this example, the familiar sounds of a windbreaker are synthesized as the character shadow boxes. AbstractWe present a practical data-driven method for automatically synthesizing plausible soundtracks for physics-based cloth animations running at graphics rates. Given a cloth animation, we analyze the deformations and use motion events to drive crumpling and friction sound models estimated from cloth measurements. We synthesize a low-quality sound signal, which is then used as a target signal for a concatenative sound synthesis (CSS) process. CSS selects a sequence of microsound units, very short segments, from a database of recorded cloth sounds, which best match the synthesized target sound in a low-dimensional feature-space after applying a handtuned warping function. The selected microsound units are concatenated together to produce the final cloth sound with minimal filtering. Our approach avoids expensive physics-based synthesis of cloth sound, instead relying on cloth recordings and our motiondriven CSS approach for realism. We demonstrate its effectiveness on a variety of cloth animations involving various materials and character motions, including first-person virtual clothing with binaural sound.

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“…Cho et al [8] investigated the sound and touch sensation of fabrics using a semantic differential (SD) technique. They concluded that the sound and touch sensations can mostly be expressed by physical properties of the fabrics, which showed a relatively high coefficient of determination between those.…”

Section: Introductionmentioning

confidence: 99%

Textural Characteristics and Friction Properties of Facial Tissues

et al. 2017

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In the current study, we conducted sensory tests for facial tissues that are commercially available in Japan, and we also tested the friction generated by the rubbing of these tissues on an artificial skin model. Using these results, we investigated the factors affecting the textural characteristics of the facial tissues. The tissue sample which contained a moisturizing agent had the highest evaluation score among the samples. Mean friction coefficient decreased as the sliding velocity decreased for low normal loads. The tissue samples which contained moisturizing agents had the low friction coefficients. From the multiple regression analysis to obtain the highest value of the adjusted coefficient of determination, the mean friction coefficient for a normal load of 0.49 N and a sliding velocity of 1 mm/s was the only parameter surprisingly that could be used to predict the evaluation scores; specifically, there was a negative correlation between the mean friction coefficient and the scores. In order to reduce the friction, one should seek to increase the moisture content of a facial tissue or decrease the tensile strength perpendicular to the fiber direction in dry facial tissues. Increasing the elastic modulus and surface roughness and decreasing the fiber diameter were effective methods for reducing the friction coefficient of facial tissues that did not contain moisturizing agents.

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Effect of fabric sound and touch on human subjective sensation

Cited by 21 publications

References 5 publications

Multisensory Softness

Multisensory Softness

Motion-driven concatenative synthesis of cloth sounds

Textural Characteristics and Friction Properties of Facial Tissues

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