Real-Time Finger Tracking for Virtual Instruments

M. Hsu, T. Shih, Jen-Shiun Chiang
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引用次数: 20

Abstract

Human Computer Interaction is becoming a major component in computer science related fields allowing humans to communicate with machines in very simple ways exploring new dimensions of research. Kinect, the 3D sensing device introduced by Microsoft which allows developers to use depth data for research. Recently, there are several mature libraries such as NITE and Kinect SDK which provide functions of Human skeleton tracking. Therefore, users may find that these applications only work with big joints of human body. When it comes to the tracking of fingers, devices such as Leap Motion will be mentioned because it provides APIs and games, which users can communicate with the computer by their fingers. Although Leap Motion Provides functions of finger tracking, the operating distance is short and users need to sit in a fixed position. Here, in this paper, authors' experimental efforts on detailed hand tracking including fingers based on Microsoft Kinect. Analyzing the depth information captured by Kinect in real time, users can apply the result in different scopes such as device controller and Virtual Instruments.
虚拟仪器的实时手指跟踪
人机交互正在成为计算机科学相关领域的一个主要组成部分,允许人类以非常简单的方式与机器交流,探索新的研究维度。Kinect是微软推出的3D传感设备,它允许开发者使用深度数据进行研究。目前,已有几个成熟的库,如NITE和Kinect SDK,提供了人体骨骼跟踪功能。因此,用户可能会发现这些应用程序只适用于人体的大关节。说到手指跟踪,Leap Motion等设备会被提到,因为它提供api和游戏,用户可以通过手指与计算机通信。虽然Leap Motion提供了手指跟踪功能,但操作距离较短,用户需要坐在固定的位置。在本文中,作者对基于微软Kinect的包括手指在内的详细手部跟踪进行了实验研究。实时分析Kinect捕获的深度信息,用户可以将结果应用于设备控制器和虚拟仪器等不同范围。
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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