Issues in the implementation of haptic compression

互联网的发展可以归功于压缩信息的能力，如图片(Jpg)、视频(Mpg)和音乐(Mp3)。有越来越多的研究将触觉或触觉添加到计算机应用中。触觉是由对人类用户施加力量的机电设备创造的，目标是在沉浸式环境中提高真实感，适用于从电脑游戏到医疗培训的各种应用。目前使用的触觉模型相当复杂。 一个复杂的对象通常被分解成足够数量的较小元素，如三角形。通过为这些多边形中的每一个赋予触觉效果来添加触觉。因此，需要存储大量数据。此外，检测哪些多边形与人类用户接触非常耗费计算。研究小组已经研究了两种压缩触觉数据的方法，这项提议的目标是进一步扩大这些研究： 1.众所周知，感觉触觉的能力，就像视觉和声音一样，受到人类知觉的极大影响。我们建议继续研究触觉中速度、力和其他因素的影响，因为它与人类用户可以感知的细节水平有关，从而可以去除不可感知的触觉细节。这将涉及到使用触觉设备进行人体测试。 2.目前使用简单多边形创建复杂虚拟对象的做法效率低下。我们建议使用解析解，尽管复杂，但描述了更大的表面区域，为触觉交互创造了一种更有效的方法。在这项提议中，这项工作将扩展到包括具有僵硬和可变形表面的对象。 我们建议使用解析解，尽管复杂，但描述了更大的表面区域，为触觉交互创造了一种更有效的方法。在这项提议中，这项工作将扩展到包括具有僵硬和可变形表面的对象。

The growth of the Internet can be attributed to the ability to compress information such as pictures (jpg), videos (mpg) and music (mp3). There is growing research into adding the sense of touch, or haptics, into computer applications. Haptics is created by mechatronic devices that exert forces on the human user, with the goal of increasing realism in immersive environments for applications as varied as computer games and medical training. Haptic models that are currently used are quite complicated. A complex object is usually broken down into a sufficient number of smaller elements such as triangular polygons. Touch is added by giving each of these polygons a haptic effect. Thus, a vast amount of data needs to be stored. As well, detecting which polygons are in contact with the human user is extremely computationally intensive. Two approaches have been studied by the research team to compress haptic data and the goal of this proposal is to further expand on these studies: 1. It is well known that the ability to sense touch, much like vision and sound, is greatly impacted by human perception. We propose to continue to study the influence of speed, force and other factors in haptics as it relates to the level of detail that can be perceived by the human user, so that imperceptible haptic details can be removed. This will involve human testing with haptic devices. 2. The current practice of creating complex virtual objects using simple polygons is inefficient. We propose the use of analytical solutions that, although complex, describe larger areas of the surface, creating a much more efficient methodology for haptic interactions. In this proposal, this work will be extended to include objects with both stiff and deformable surfaces. We propose the use of analytical solutions that, although complex, describe larger areas of the surface, creating a much more efficient methodology for haptic interactions. In this proposal, this work will be extended to include objects with both stiff and deformable surfaces.