Delhaye Benoit, Barrea Allan, Edin Benoni B, Lefèvre Philippe, Thonnard Jean-Louis
Institute of Neuroscience (IoNS), Université catholique de Louvain, Brussels and Louvain-la-Neuve, Belgium Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Université catholique de Louvain, Brussels and Louvain-la-Neuve, Belgium Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, USA.
Institute of Neuroscience (IoNS), Université catholique de Louvain, Brussels and Louvain-la-Neuve, Belgium Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Université catholique de Louvain, Brussels and Louvain-la-Neuve, Belgium.
J R Soc Interface. 2016 Feb;13(115):20150874. doi: 10.1098/rsif.2015.0874.
The temporal evolution of surface strain, resulting from a combination of normal and tangential loading forces on the fingerpad, was calculated from high-resolution images. A customized robotic device loaded the fingertip with varying normal force, tangential direction and tangential speed. We observed strain waves that propagated from the periphery to the centre of the contact area. Consequently, different regions of the contact area were subject to varying degrees of compression, stretch and shear. The spatial distribution of both the strains and the strain energy densities depended on the stimulus direction. Additionally, the strains varied with the normal force level and were substantial, e.g. peak strains of 50% with a normal force of 5 N, i.e. at force levels well within the range of common dexterous manipulation tasks. While these observations were consistent with some theoretical predictions from contact mechanics, we also observed substantial deviations as expected given the complex geometry and mechanics of fingertips. Specifically, from in-depth analyses, we conclude that some of these deviations depend on local fingerprint patterns. Our data provide useful information for models of tactile afferent responses and background for the design of novel haptic interfaces.
通过高分辨率图像计算了指腹上法向和切向加载力组合所导致的表面应变的时间演变。一个定制的机器人设备以不同的法向力、切向方向和切向速度加载指尖。我们观察到应变波从接触区域的周边传播到中心。因此,接触区域的不同区域受到不同程度的压缩、拉伸和剪切。应变和应变能密度的空间分布取决于刺激方向。此外,应变随法向力水平而变化,且幅度较大,例如在5 N的法向力作用下峰值应变为50%,即在常见灵巧操作任务范围内的力水平下。虽然这些观察结果与接触力学的一些理论预测一致,但鉴于指尖复杂的几何形状和力学特性,我们也观察到了如预期的显著偏差。具体而言,通过深入分析,我们得出结论,其中一些偏差取决于局部指纹图案。我们的数据为触觉传入反应模型提供了有用信息,并为新型触觉界面的设计提供了背景。