Artificial finger design for investigating the tactile friction of textile surfaces

Camillieri, Brigitte; Bueno, Marie-Ange

doi:10.1016/j.triboint.2016.12.013

Cited by 23 publications

(8 citation statements)

References 57 publications

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“…However, it is observed the COF varies substantially from person to person. This is in accordance with previous results obtained for both real textile surfaces [35] and virtual surfaces simulated by STIMTAC [29,30]. In fact, the COF between the finger and a surface depends on the hydrolipid film composition, in terms of water and lipid ratio, especially with a smooth surface as STIMTAC [29].…”

Section: General Comments On Cof and Induced Vibrationssupporting

confidence: 91%

From finger friction and induced vibrations to brain activation: Tactile comparison between real and virtual textile fabrics

Camillieri

Bueno

Fabre

et al. 2018

Tribology International

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The objective is to compare the tactile rendering of real and virtual textile surfaces. A grooved woven (twill) and a hairy fabric (velvet) were studied. The virtual fabrics were simulated with a tactile device. The comparison was done by measuring the finger interaction in terms of coefficient of friction (COF) and induced vibrations, and brain activation by electroencephalography (EEG). EEG showed that the real and virtual twill fabrics are close, contrary to real and virtual velvets. The finger friction showed that for both fabrics the rendering of virtual compared to real fabrics is very good in terms of COF, low in terms of finger induced vibrations in high frequencies, but differs for the velvet texture for low frequencies.

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Section: General Comments On Cof and Induced Vibrationssupporting

confidence: 91%

From finger friction and induced vibrations to brain activation: Tactile comparison between real and virtual textile fabrics

Camillieri

Bueno

Fabre

et al. 2018

Tribology International

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, in recent years, the establishment of body-electric interfaces has attracted notable attention via multifarious electronic skins for capturing indexed in big data analytics [ 6 , 7 , 8 , 9 , 10 ]. Some devices can detect toxic agents in the environment and define the quality of the food, and some devices can reflect the human body movement state and physiological information [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. For example, sensors for gustation recognition are immersed in the measured solution, and the changes of the electrical signal can recognize the flavor [ 27 , 28 , 29 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Self-Powered Flexible Sour Sensor for Detecting Ascorbic Acid Concentration Based on Triboelectrification/Enzymatic-Reaction Coupling Effect

Zhao

Wang

2021

Sensors

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Artificial sensory substitution systems can mimic human sensory organs through replacing the sensing process of a defective sensory receptor and transmitting the sensing signal into the nervous system. Here, we report a self-powered flexible gustation sour sensor for detecting ascorbic acid concentration. The material system comprises of Na2C2O4-Ppy with AAO modification, PDMS and Cu wire mesh. The working mechanism is contributed to the triboelectrification/enzymatic-reaction coupling effect, and the device can collect weak energy from body movements and directly output triboelectric current without any external power-units. The triboelectric output is affected by AA concentration, and the response is up to 34.82% against 15.625 mM/L of AA solution. Furthermore, a practical application in detecting ascorbic acid concentration of different drinks has been demonstrated. This work can encourage the development of wearable flexible electronics and this self-powered sour sensor has the potential that can be acted as a kind of gustatory receptors to build electronic tongues.

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“…To produce an accurate model based on empirical observation would require testing with either human subjects or automated mechanical actuation involving a mock finger. Human subject testing is inherently time consuming and difficult to control owing to the variability of human fingers and the difficulty in controlling the level of moisture and the force applied [ 44 , 45 ].…”

Section: Introductionmentioning

confidence: 99%

Survival of polymeric microstructures subjected to interrogatory touch

et al. 2021

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Polymeric arrays of microrelief structures have a range of potential applications. For example, to influence wettability, to act as biologically inspired adhesives, to resist biofouling, and to play a role in the “feel” of an object during tactile interaction. Here, we investigate the damage to micropillar arrays comprising pillars of different modulus, spacing, diameter, and aspect ratio due to the sliding of a silicone cast of a human finger. The goal is to determine the effect of these parameters on the types of damage observed, including adhesive failure and ploughing of material from the finger onto the array. Our experiments point to four principal conclusions [1]. Aspect ratio is the dominant parameter in determining survivability through its effect on the bending stiffness of micropillars [2]. All else equal, micropillars with larger diameter are less susceptible to breakage and collapse [3]. The spacing of pillars in the array largely determines which type of adhesive failure occurs in non-surviving arrays [4]. Elastic modulus plays an important role in survivability. Clear evidence of elastic recovery was seen in the more flexible polymer and this recovery led to more instances of pristine survivability where the stiffer polymer tended to ablate PDMS. We developed a simple model to describe the observed bending of micropillars, based on the quasi-static mechanics of beam-columns, that indicated they experience forces ranging from 10−4–10−7 N to deflect into adhesive contact. Taken together, results obtained using our framework should inform design considerations for microstructures intended to be handled by human users.

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Artificial finger design for investigating the tactile friction of textile surfaces

Cited by 23 publications

References 57 publications

From finger friction and induced vibrations to brain activation: Tactile comparison between real and virtual textile fabrics

From finger friction and induced vibrations to brain activation: Tactile comparison between real and virtual textile fabrics

Self-Powered Flexible Sour Sensor for Detecting Ascorbic Acid Concentration Based on Triboelectrification/Enzymatic-Reaction Coupling Effect

Survival of polymeric microstructures subjected to interrogatory touch

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