Nonlinear tactile estimation model using vibration information from tactile sensor mediated by mechanoreceptors' perceptibility

Since tactile sensation is an important factor for products to get added value, tactile sensing attracts huge attentions as tactile quantitative evaluation method. While human tactile perception mechanism has nonlinearity, many of previous studies confined to construct linear regression models to estimate tactile sensation. Hence, this study proposes a nonlinear tactile estimation model of molded plastic plates. We extracted features from vibration information mediated by mechanoreceptors' perceptibility, and the relationship between the tactile evaluation score and extracted features was formulated by constructing regression model including nonlinearity. The result implies what range of vibration information affects each tactile sensation.