Skin quality sensor to evaluate vibration and friction generated when sliding over skins.

OBJECTIVE: The mechanical condition and tactile evaluation of skin are essential for the development of skin care products. Most of the existing commercial instruments and studies aim to evaluate the skin surface by pressing it for hardness or by using imaging sensors, but there have been few instrumental measurements employing rubbing motion. Here, we have developed a sensor specialized for tactile sensation and the contact phenomenon during skin rubbing. METHODS: The developed sensor has three features: It can measure body parts including cheeks and arms, automate the rubbing motion of the probe and measure vibration and friction simultaneously. It is hand-held, with metal probes that rub the skin surface while rotating under a motor drive; it has an accelerometer and a force sensor beneath the probe measuring vibration and friction forces. To evaluate the validity of the sensor's measurements, artificial skin models were measured using the developed sensor and commercially available sensors and the results were compared. The relationship between the sensor output, surface roughness measurement and sensory evaluation was also investigated. Additionally, we evaluated the inter-rater reliability when measuring actual skin. RESULTS: The measurements of five artificial skin models with different surface shapes showed a high correlation (r = 0.99) between the vibration intensity values evaluated by the developed sensor and those measured by a tri-axial acceleration sensor attached to a fingernail. The correlation coefficient between the vibration intensity values and surface roughness was r = 0.91, and the correlation with the sensory evaluation score of roughness was r = 0.99. The friction coefficients measured by the developed sensor and the force plate had r = 0.93, based on measurements of five artificial skin models with different friction conditions. The inter-rater correlation coefficients between the three participants of the developed sensor were as high as 0.92 and 0.94 for the vibration and friction measurements respectively. CONCLUSION: The vibration intensities and friction coefficients from the sensor were highly correlated with those of the conventional sensor. The inter-rater reliability was also high. The developed sensor can be useful for tactile evaluation in skin-care product development.

OBJECTIF: l'état mécanique et l'évaluation tactile de la peau sont essentiels au développement de produits de soins de la peau. La plupart des instruments disponibles sur le marché et des études publiées à ce jour évaluent la surface de la peau en la comprimant pour déterminer sa dureté ou en utilisant des capteurs d'imagerie, mais il n'y a eu que peu de mesures instrumentales utilisant le mouvement de frottement. Ici, nous avons développé un capteur spécialisé pour la sensation tactile et le phénomène de contact lors du frottement de la peau. MÉTHODES: le capteur développé possède trois caractéristiques : il permet d'exercer des mesures sur plusieurs parties du corps, y compris les joues et les bras ; il automatise le mouvement de frottement de la sonde et il mesure simultanément les vibrations et les frottements. Tenu à la main, doté de sondes en métal qui frottent la surface de la peau tout en tournant sous l'action d'un moteur, il est équipé d'un accéléromètre et d'un capteur de force situé sous la sonde qui mesure les forces de vibration et de frottement. Pour déterminer la validité des mesures du capteur, des modèles de peau artificielles ont été évalués à l'aide du capteur développé et de capteurs déjà disponibles sur le marché, et les résultats ont été comparés. Le lien entre les mesures réalisées à l'aide du capteur, la mesure de la rugosité de la surface de la peau et l'évaluation sensorielle a également été étudié. En outre, nous avons évalué la fiabilité inter-évaluateurs lors de la mesure réelle de la peau. RÉSULTATS: les mesures de cinq modèles de peau artificielle avec des formes de surface différentes ont montré une forte corrélation (r = 0,99) entre les valeurs d'intensité des vibrations évaluées par le capteur développé et celles mesurées par un capteur d'accélération triaxial fixé à un ongle. Le coefficient de corrélation entre les valeurs d'intensité des vibrations et la rugosité de la surface était r = 0,91, et la corrélation avec le score d'évaluation sensorielle de la rugosité était r = 0,99. Les coefficients de frottement mesurés par le capteur développé et la plaque de force étaient r = 0,93, sur la base des mesures de cinq modèles de peau artificielle avec des conditions de frottement différentes. Les coefficients de corrélation inter-évaluateurs entre les trois participants utilisant le capteur développé ont atteint 0,92 et 0,94 pour les mesures de vibrations et de frottement, respectivement. CONCLUSION: les intensités des vibrations et les coefficients de frottement du capteur se sont avérés fortement corrélés avec ceux du capteur conventionnel. La fiabilité inter-évaluateurs était également élevée. Le capteur développé peut être utile pour l'évaluation tactile lors du développement de produits de soins de la peau.

On the Analysis of Tactile Sensation Based on Time Measurement: An Experimental Case Study on the Interaction Between Skin and Lotion.

This paper presents a novel experimental case study in which tactile sensation is analyzed as 4-dimensional subjective data consisting of stimulus, participant, evaluation term, and temporal components, using a temporal measurement approach. Specifically, the skin and lotion interaction was evaluated using the Temporal Check-All-That-Apply (TCATA) method. Two practical analysis examples were conducted to experimentally demonstrate the potential use cases of time-series subjective tactile data. In the first example, stimulus classification accuracy was compared between different sampling periods, including the whole and late periods, with the latter being akin to the conventional Semantic Differential (SD) method condition. The results indicate that the whole and early periods exhibit higher accuracy compared to the latest period, implying that temporal measurements may capture more stimulus characteristics than the conventional approach. In the second example, cluster analysis based on the time-series subjective data was conducted. The results revealed that the participants were classified into two distinct clusters, with the trends of time-series changes being significantly different between the clusters.

Assessment of Stickiness with Pressure Distribution Sensor Using Offset Magnetic Force.

The quantification of stickiness experienced upon touching a sticky or adhesive substance has attracted intense research attention, particularly for application to haptics, virtual reality, and human-computer interactions. Here, we develop and evaluate a device that quantifies the feeling of stickiness experienced upon touching an adhesive substance. Keeping in mind that a typical pressure distribution sensor can only measure a pressing force, but not a tensile force, in our setup, we apply an offset pressure to a pressure distribution sensor and measure the tensile force generated by an adhesive substance as the difference from the offset pressure. We propose a method of using a magnetic force to generate the offset pressure and develop a measuring device using a magnet that attracts magnetic pin arrays and pin magnets; the feasibility of the method is verified with a first prototype. We develop a second prototype that overcomes the noise problems of the first, arising from the misalignment of the pins owing to the bending of the magnetic force lines at the sensor edges. We also obtain measurement results for actual samples and standard viscosity liquids. Our findings indicate the feasibility of our setup as a suitable device for measuring stickiness.