Anthropomorphic Classification of Tactile Qualities of Woven Fabrics Based on Skin/Textile Friction-Induced Vibrations
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The common method classifying tactile qualities of fabrics is indirectly based on their difference of purely mechanical and physical properties. When human skin slides across fabric surfaces, the friction interaction between fabrics and skin will occur and trigger the cutaneouS tactile receptors, which are responsible for perceived tactile sensation. By the extracted features from friction- induced vibration signals, this paper presents an anthropomorphic classification method classifying tactile qualities of fabrics. The friction-induced vibration signals are recorded by a three-axis accelerator sensor, and the entice testing procedure is conducted in an anthropomorphic way to obtain vibration signals. The fast Fourier transform （FFT） is applied to analyzing the recoded signals, and then the classification features are extracted from the FFT data by the neurophysiological properties of tactile receptors. The extracted features are used to classify fabric samples by the softness sensation and the roughness sensation, respectively, and the classification performance is checked by a comparison with those in a sensory evaluation procedure. The results showed that the anthropomorphic objective classification method was precise and efficient to clarify tactile qualities of woven fabrics.Keywords:
Textile
Tactile sensor
Tactile display
Sensation
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Bu çalışmada, gömleklik kumaşların tuşe özelliklerinin duyusal analizle belirlenmesi ve duyusal analiz neticeleri ile kumaşların bazı fiziksel özellikleri arasındaki ilişkinin değerlendirilmesi amaçlanmaktadır
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Sensation
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Tribometer
Sensation
Foundation (evidence)
Silicone rubber
Tactile Perception
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Textile
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We perceive tactile sensations on the basis of vibration elicited on our skin. The skin vibration involves fingertip's skin properties of each person. Therefore, measurement of the skin vibration might be useful for quantitative evaluation of subjective tactile sensations. In this paper, we conducted the experiment for various roughness and textures with a wearable skin vibration sensor to investigate the relationship between the sensor output and roughness or textures. The sensor can detect skin-propagated vibration elicited by rubbing an object. We calculated power spectral density of skin vibration from the sensor output. The resulting output was discussed in aspects of roughness rating, texture identification and subjective tactile perception. The results showed that the sensor has a potential of quantitative rating of roughness by the intensity, and both the intensity and the center of frequency of sensor outputs are available to identify textures.
Tactile sensor
Rubbing
Texture (cosmology)
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Tactile Perception
Texture (cosmology)
Coefficient of friction
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In the field of e-commerce or virtual prototyping of textile fabrics and garments, tactile stimulators could be very pertinent and useful tools for the industry. The challenge is to stimulate the human hand using a tactile device in order to simulate the textile fabric touch. The principle of the tactile device is described. The kinds of fabrics investigated are pile fabrics, such as velvet. In this study, the illusion of pile is given when touching the smooth plate of the tactile device by modulating the coefficient of friction between the plate and the finger during an active movement. The control signal is qualitatively designed from some tribological features identified in this study as velvet fabric characteristics. The influence of each tribological feature on the tactile rendering is studied via psychophysical studies comparing real and simulated fabrics. The best rendering needs a simulation with three specific features: a coefficient of friction, which depends on the finger movement direction; a transition phase for the change of movement direction; and small amplitude variations of the coefficient of friction with about one millimeter wavelength.
Velvet
Textile
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Recent publications on virtual reality and augmented reality have highlighted the possibility of inducing the tactile sensation of surface texture by exciting the fingertip skin with appropriate vibration. When fingertip and object surface are in contact with a relative motion, the sliding between the two surfaces generate vibrations, however, the link between friction-induced vibrations features and textile surface characteristics has not been fully investigated. This study will explore the dependence of different vibrational components on the constructional parameters of woven fabrics. This is achieved by measuring the friction-induced vibration with bare fingertip and analyzing the relationship of extracted vibration features with constructional details of woven fabrics. The results show that the yarn densities majorly affect the normal vibration intensity, the yarn fineness, and the weave pattern that determine the tangential components of vibration intensity, and the fundamental frequency of vibration spectrum characterizes the periodic surface textures of woven fabric. Generally, both normal and tangential components of friction-induced vibration signals represent the constructional specifications of woven fabrics, and they can be used to define objective indexes and reproducible stimuli of the perceived surface characteristics in vibrotactile rendering.
Woven fabric
Textile
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This Paper presents a hybrid tactile displaying method of realistic texture using ultrasonic vibrator and force display. The aim of this study is to display various realistic tactile senses by controlling multiple factors including roughness, softness and friction sense. First, a tactile displaying system was configured for displaying roughness, softness and friction sense simultaneously by compensating the interference among multiple parameters of ultrasonic vibration and force feedback on multiple tactile senses. Second, by conducting several sensory evaluation experiments, the proposed method for displaying softness and friction senses were verified. The relationship between each control parameter and the tactile senses were quantified as well. Then, material discrimination experiment was conducted. As a result, percentage of questions answered correctly was more than 87.5 in all materials. Finally, the tactile senses of real materials and artificial tactile senses were evaluated using adjectives. As a result, the correlation coefficients between real materials and hybrid artificial tactile senses were quite high at the evaluation items on roughness, softness and friction senses.
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Tactile sensor
Tactile display
Texture (cosmology)
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The assessment of fabric quality is highly dependent on the human tactile sense, which is affected by many factors. There is currently no approach to measure fabric quality directly. To build the relationship between tactile perception and fabric texture, vibration data obtained from a biomimetic sensor while scanning fabric surfaces were recorded and compared with the human judgments. Human subjective sensing experiments were performed with 20 volunteers by classifying texture into 10 grades according to three dimensions: Rough–Smooth, Coarse–Fine and Complex–Uniform. The vibrations and the coefficient of friction (COF) between the skin and fabric were measured using an artificial finger and a tribometer as the artificial finger scanned across various fabrics. Five characteristic values were extracted based on features of the fabric texture from the vibration data: peak average (PA), peak ratio (PR), spectral centroid (SC), power (P) and Shannon entropy (SE).These feature values were evaluated by comparison with those from human sensing experiments. It was found that P, SC, SE and COF could characterize the perceived Rough–Smooth, Coarse–Fine, Complex–Uniform and surface comfort, respectively.
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Tactile Perception
Tactile sensor
Texture (cosmology)
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Citations (37)