DigitEyes: vision-based hand tracking for human-computer interaction

Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects Pub Date : 1994-11-11 DOI:10.1109/MNRAO.1994.346260

James M. Rehg, T. Kanade

引用次数: 227

Abstract

Computer sensing of hand and limb motion is an important problem for applications in human-computer interaction (HCI), virtual reality, and athletic performance measurement. Commercially available sensors are invasive, and require the user to wear gloves or targets. We have developed a noninvasive vision-based hand tracking system, called DigitEyes. Employing a kinematic hand model, the DigitEyes system has demonstrated tracking performance at speeds of up to 10 Hz, using line and point features extracted from gray scale images of unadorned, unmarked hands. We describe an application of our sensor to a 3D mouse user-interface problem.<>

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DigitEyes:用于人机交互的基于视觉的手部跟踪

手和肢体运动的计算机感知是人机交互(HCI)、虚拟现实和运动成绩测量应用中的一个重要问题。商业上可用的传感器是侵入式的，需要用户戴上手套或目标。我们开发了一种非侵入性的基于视觉的手部追踪系统，叫做DigitEyes。采用运动学手部模型，DigitEyes系统利用从未修饰、未标记的手部灰度图像中提取的线和点特征，以高达10 Hz的速度展示了跟踪性能。我们描述了我们的传感器在3D鼠标用户界面问题中的应用。

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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Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects

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