This paper presents finite element models of the fingertip skin which have been created to simulate the contact of textile objects with the skin to gain a better understanding of the perception of textiles through the...This paper presents finite element models of the fingertip skin which have been created to simulate the contact of textile objects with the skin to gain a better understanding of the perception of textiles through the skin, the so-called hand of textiles. Many objective and subjective techniques have already been developed for analysing the hand of textiles;however, none of them provide exact overall information concerning the sensation of textiles through the skin. As the human skin is a complex heterogeneous hyperelastic body composed of many particles, some simplifications had to be made at the early stage of building the models;however, their utilitarian value was maintained. The models relate only to mechanical loading of the skin. They predict a low deformation of the fingertip skin under the pressure of virtual heterogeneous material: acrylic, coarse wool, and steel.展开更多
提出了一套基于指势的识别系统,引入OPENCV计算机视觉库,为系统软件的设计及实现提供了便捷的代码。不同于以往方法依赖于正对摄像头(垂直)投影的限制,该系统能够在任意倾斜角度情况下进行指势识别。其基本方法包含肤色检测、大量连续...提出了一套基于指势的识别系统,引入OPENCV计算机视觉库,为系统软件的设计及实现提供了便捷的代码。不同于以往方法依赖于正对摄像头(垂直)投影的限制,该系统能够在任意倾斜角度情况下进行指势识别。其基本方法包含肤色检测、大量连续微移动(Consecutive Count of Micro Movements,CCMM)算法和图像降噪及轮廓提取的预处理部分,然后运用k值法进行指尖及指蹼点的检测。最后,由决策树算法识别出手指指尖和指蹼点构成的简单指势的特定含义。该系统运行稳定,运行速率较快,平均识别率高达95.05%,并包含了参数调试功能,适用范围较广。展开更多
文摘This paper presents finite element models of the fingertip skin which have been created to simulate the contact of textile objects with the skin to gain a better understanding of the perception of textiles through the skin, the so-called hand of textiles. Many objective and subjective techniques have already been developed for analysing the hand of textiles;however, none of them provide exact overall information concerning the sensation of textiles through the skin. As the human skin is a complex heterogeneous hyperelastic body composed of many particles, some simplifications had to be made at the early stage of building the models;however, their utilitarian value was maintained. The models relate only to mechanical loading of the skin. They predict a low deformation of the fingertip skin under the pressure of virtual heterogeneous material: acrylic, coarse wool, and steel.
文摘提出了一套基于指势的识别系统,引入OPENCV计算机视觉库,为系统软件的设计及实现提供了便捷的代码。不同于以往方法依赖于正对摄像头(垂直)投影的限制,该系统能够在任意倾斜角度情况下进行指势识别。其基本方法包含肤色检测、大量连续微移动(Consecutive Count of Micro Movements,CCMM)算法和图像降噪及轮廓提取的预处理部分,然后运用k值法进行指尖及指蹼点的检测。最后,由决策树算法识别出手指指尖和指蹼点构成的简单指势的特定含义。该系统运行稳定,运行速率较快,平均识别率高达95.05%,并包含了参数调试功能,适用范围较广。
