Chathuranga Damith Suresh, Hirai Shinichi
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:5764-7. doi: 10.1109/EMBC.2015.7319702.
Slippage on the fingertips is an important phenomenon that occurs constantly in our daily life. However, the mechanism behind the slippage, especially incipient slippage, which appears prior to overall slippage, has not been fully understood. In this paper, a 2D finite element (FE) model of the human fingertip was presented to study how the human fingertip perceives slippages. The 2D geometries of the fingertip were generated based on magnetic resonance (MR) images. The fingertip model consisted of four layers: epidermis, dermis, subcutaneous tissue, and distal phalanx. The microstructures of the intermediate and limiting ridges in between the epidermis and dermis layers were manually constructed to locate four types of mechanoreceptors. Simulations of pushing and sliding motions were implemented, and mechanical measures of the acceleration and strain energy density (SED) were investigated at the locations of the mechanoreceptors. We found that both incipient and overall slippages could be clearly detected using the acceleration signal captured by the FA-I and SA-I receptors. The SED measurement does not provide useful information for the slippage detection.
指尖滑动是我们日常生活中经常发生的一种重要现象。然而，滑动背后的机制，尤其是在整体滑动之前出现的初始滑动，尚未得到充分理解。在本文中，提出了一种人类指尖的二维有限元（FE）模型，以研究人类指尖如何感知滑动。指尖的二维几何形状是基于磁共振（MR）图像生成的。指尖模型由四层组成：表皮、真皮、皮下组织和远节指骨。手动构建了表皮和真皮层之间的中间嵴和界嵴的微观结构，以定位四种类型的机械感受器。进行了推和滑动运动的模拟，并在机械感受器的位置研究了加速度和应变能密度（SED）的力学测量。我们发现，使用FA-I和SA-I受体捕获的加速度信号可以清晰地检测到初始滑动和整体滑动。SED测量对于滑动检测没有提供有用的信息。
