A Wearable Fingernail Deformation Sensing System and Three-Dimensional Finite Element Model of Fingertip

K. Sakuma, B. Webb, R. Narayanan, Avner Abrami, Jeff Rogers, J. Knickerbocker, S. Heisig
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Abstract

This paper describes the sensor, electronics, software, modeling, and characterization of a fingernail-mounted RF-connected wearable strain sensor system that measures nail deformation from finger movement. Applications to health monitoring and human computer interfaces in homes, hospitals, and workplaces are discussed. The mechanical deformation of a fingertip pressed or drawn against a plate is demonstrated using a three-dimensional finite-element linear-elastic model to predict the signal level, optimum sensor locations and the type and location of deformation expected for different finger motions. The 3D finite-element linear elastic model is derived from X-ray images of a human finger but generalized and parameterized to allow new models to be created by scaling internal and external parameters such as skin thickness and nail and finger shape to predict sensor system performance for a more general human population. Our analysis finds that a single sensor mounted in the center of the nail will respond to typical grip pressures on the fingertip with readily detectible strain amplitudes but that a multi-sensor array will be sensitive to more general haptic phenomena such as the direction and magnitude of frictional loads and loading of the distal phalangeal joint. It is shown that depending on finger use and loading the nail exhibits shifts in direction, location and sign of strain over the fingernail surface. Measurement data from a simple multi-sensor array is shown to be useful in distinguishing between load conditions, however additional sensors are required for full determination.
一种可穿戴式指甲变形传感系统及指尖三维有限元模型
本文描述了传感器,电子,软件,建模和表征的指甲安装射频连接可穿戴应变传感器系统,测量指甲变形的手指运动。讨论了在家庭、医院和工作场所的健康监测和人机界面中的应用。使用三维有限元线弹性模型来预测信号水平,最佳传感器位置以及不同手指运动预期的变形类型和位置,演示了指尖按压或拉伸到板上的机械变形。三维有限元线性弹性模型来源于人类手指的x射线图像,但可以通过缩放内部和外部参数(如皮肤厚度、指甲和手指形状)来创建新模型,从而预测更普通人群的传感器系统性能。我们的分析发现,安装在指甲中心的单个传感器将对典型的指尖握持压力做出反应,并具有易于检测的应变幅度,但多传感器阵列将对更一般的触觉现象敏感,例如摩擦载荷的方向和大小以及远端指骨关节的载荷。结果表明,根据手指的使用和载荷,指甲在方向、位置和指甲表面应变的迹象上发生了变化。测量数据从一个简单的多传感器阵列显示是有用的,以区分负载条件,但额外的传感器需要完全确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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