A Model for Resolving the Intensity of Stick-Slip Vibration in the Surface Roughness Detection at a Finger Pad

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  • 指腹の表面粗さ検知におけるスティックスリップ振動の強度分解モデル

Abstract

<p>We have proposed a new model for tactile perception of finger pads of human based on stick-slip vibrations. When humans rub the surface of an object with their finger, vibrations occur between the finger and the surface of the object. It is said that human detects these vibrations to feel various textures. In the previous study, we observed vibrations when rubbing a rubber with the stripe-like uneven shape instead of the finger on sandpapers. It was found that the frequency and the amplitude of vibration characterize the tactile information. In this study, we explore response characteristics of the Meissner corpuscle by numerical simulation. The FitzHugh-Nagumo equation is employed for the response of the secondary neuron connecting the Meissner corpuscle. As a result, it is found that a sigmoid feature of the Meissner corpuscle explains physiologic laboratory findings well. The neurons are in a noisy environment, according to the stochastic resonance, so that the noise may improve an ability to detect weak signals below the threshold.</p>

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