Hand tracking for human-computer interaction with Graylevel VisualGlove: turning back to the simple way

G. Iannizzotto, M. Villari, L. Vita
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引用次数: 33

Abstract

Recent developments in the manufacturing and marketing of low power-consumption computers, small enough to be "worn" by users and remain almost invisible, have reintroduced the problem of overcoming the outdated paradigm of human-computer interaction based on use of a keyboard and a mouse. Approaches based on visual tracking seem to be the most promising, as they do not require any additional devices (gloves, etc.) and can be implemented with off-the-shelf devices such as webcams. Unfortunately, extremely variable lighting conditions and the high degree of computational complexity of most of the algorithms available make these techniques hard to use in systems where CPU power consumption is a major issue (e.g. wearable computers) and in situations where lighting conditions are critical (outdoors, in the dark, etc.). This paper describes the work carried out at VisiLAB at the University of Messina as part of the VisualGlove Project to develop a real-time, vision-based device able to operate as a substitute for the mouse and other similar input devices. It is able to operate in a wide range of lighting conditions, using a low-cost webcam and running on an entry-level PC. As explained in detail below, particular care has been taken to reduce computational complexity, in the attempt to reduce the amount of resources needed for the whole system to work.
用Graylevel VisualGlove进行人机交互的手部跟踪:回到简单的方式
在制造和销售低功耗计算机方面的最新发展,小到用户可以“穿着”并且几乎看不见,重新引入了克服基于使用键盘和鼠标的人机交互的过时范例的问题。基于视觉追踪的方法似乎是最有前途的,因为它们不需要任何额外的设备(手套等),并且可以与现成的设备(如网络摄像头)一起实现。不幸的是,极端多变的光照条件和大多数可用算法的高度计算复杂性使得这些技术很难在CPU功耗是一个主要问题的系统(例如可穿戴计算机)和光照条件至关重要的情况下(户外,黑暗中等)使用。本文描述了墨西拿大学VisiLAB作为VisualGlove项目的一部分所进行的工作,该项目旨在开发一种实时的、基于视觉的设备,能够替代鼠标和其他类似的输入设备。它能够在广泛的照明条件下工作,使用低成本的网络摄像头,并在入门级PC上运行。正如下面详细解释的那样,为了减少整个系统工作所需的资源量,已经特别注意降低计算复杂性。
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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