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Relationship between perceived softness of bilayered skin models and their mechanical properties measured with a dual-sensor probe

机译:使用双传感器探针测量的双层皮肤模型的感知柔软度与力学性能之间的关系

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摘要

The development of a sensor system that can predict the subjective softness of human skin is an important goal for the cosmetics industry. Here, we first carried out a subjective softness evaluation test using 65 skin models consisting of polyurethane bilayers with different thickness of the superficial layer and different degree of cross-polymerization of the basal layer. The results showed that perceived softness was dependent on the mechanical properties of both the superficial and basal layers. Then, we used a recently developed tactile sensor system composed of a piezoelectric tactile sensor and a load cell to measure mechanical softness parameters of the superficial layer and the whole model, respectively. Statistical analysis showed that the data obtained from these two sensors were well correlated with the perceived softness of the prepared models. These results suggest that it may be feasible to predict the subjective softness of human skin in vivo from non-invasive mechanical softness measurements of the superficial skin layer and whole skin obtained with our new dual-probe sensor system.
机译:可以预测人类皮肤主观柔软度的传感器系统的开发是化妆品工业的重要目标。在这里,我们首先使用65种皮肤模型进行了主观柔软度评估测试,这些模型由具有不同表层厚度和不同基础层交联度的聚氨酯双层组成。结果表明,感知到的柔软度取决于表层和基础层的机械性能。然后,我们使用了最近开发的由压电触觉传感器和称重传感器组成的触觉传感器系统,分别测量了表层和整个模型的机械柔软度参数。统计分析表明,从这两个传感器获得的数据与准备好的模型的感知柔软度相关性很好。这些结果表明,通过使用我们的新双探头传感器系统获得的浅层皮肤层和整个皮肤的非侵入性机械柔软度测量结果,预测人体内皮肤的主观柔软度可能是可行的。

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