一个使用深度图和紧凑性的人机交互框架

P. Jyothilakshmi, K. Rekha, K. Nataraj
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引用次数: 2

摘要

近年来,由于先进的图像处理技术和传感器等技术的进步,使得设计各种人机交互的试验台变得容易,因此人机交互领域的研究和发展处于快速发展的轨道上。微软在Xbox游戏中广泛使用的windows操作系统(os)的功能控制装置“Kinect”被引进。本文阐述了一种流行的人机界面应用——使用手势识别的鼠标控制。该方法命名为hand-mouse (HM)。HM跟踪全身重要核心点,手掌的移动控制鼠标光标的移动,手掌的打开和关闭控制鼠标点击事件。HM系统使用Kinect是为了避免佩戴任何传感器或手势训练数据集,这减少了计算开销,实验结果显示了一个令人满意的实时输出结果,具有更高的真阳性和更少的假阴性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for human-machine interaction using Depthmap and compactness
In recent past research and development in the field of Human-computer/machine interaction (HMI) is on fast track because there has been enough advancement of technologies such as advanced image processing techniques and sensors etc. which provides ease to formulate a test bed to experiment various HMI. A device called Kinect has been introduced for controlling functionalities of windows operating system, which is being widely used in Xbox games by Microsoft. This paper illustrates one of the popular HMI application called mouse control using hand gesture recognition. The method is named as hand-mouse (HM). HM tracks the full body vital core point and the movement of palm controls the movement of mouse cursor and the opening and closing of palm controls a mouse click events. The HM system is using Kinect in order to avoid wearing of any sensors or gesture training dataset, which reduces the computational overhead and experimental results demonstrates a real time output with satisfactory results having higher true positive and lesser false negative.
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