Interactive white board using gestures with KINECT
Interactive white board using gestures with KINECT
复制标题
使用 KINECT 手势的交互式白板
DOI：
10.1109/iceeot.2016.7754805
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Zohaib Najam
中科院分区：
文献类型：
--
作者：
Ahtasham Ahsan;Shaheryar Najam;Jameel Ahmed;Zohaib Najam
人机交互已经成为一个革命性的领域，现在一天，它被公认为一个研究领域。本文的重点是在人机交互领域进行。本文提出了一种想法，其中，投影机投影的计算机屏幕上的板和用户可以控制计算机使用手写笔和手势。这些类型的交互式应用程序广泛用于教育以及商业部门。在过去存在用于此目的的不同类型的技术，如红外扫描、电阻式触摸和基于电磁笔的交互式白板。我们的研究目的是设计这样一个交互式的应用程序，这是环境友好，比现有的产品便宜。手势识别是我们为提高现代应用中的交互性而采取的一个新步骤。我们的主要重点是识别人类的手势和手写笔点，以控制计算机，所以，人体骨架检测使用Kinect相机与OpenNI库。Kinect的深度传感器是一个红外摄像头，背景对我们的系统性能影响很小，所以我们可以很容易地使用它来检测骨架，红外摄像头的输出是原始的红外流。我们必须使用OpenNI提取对象的深度信息。我们使用OpenCV这是一个计算机视觉系统库，并为我们提供了计算机视觉的算法。之后，该步骤是识别检测到的手势并根据用户提供的指令控制计算机。这些类型的交互式应用程序增加了我们生活中的交互性，使我们能够轻松地理解我们生活中的复杂问题。我们将努力在这样一个层次上提供无纸环境的互动帮助。
Human computer interaction has become a revolutionary field and now a days, It is recognized as a research field. Focus of this pape is to proceed in the field of human computer interaction. This paper presents a idea in which, projector projects the computer screen on the board and user can control the computer using stylus and gestures. These types of interactive applications are widely used in education as well as in business sector. There are different types of technologies existing for this purpose in the past as infrared scan, resistive touch and electromagnetic pen based interactive whiteboard. The purpose of our research is to design such an interactive application which is environment friendly and cheaper than the existing products. Gestures recognition is a new step we have taken to improve the interactivity in contemporary applications. Our main focus is to recognize the human gestures and the stylus point in order to control the computer so, human skeleton is detected using Kinect camera with OpenNI library. The depth sensor of Kinect is an infrared camera and background have little impact on the performance of our system so, we can easily detect the skeleton using it and the output of the infrared camera is raw infrared stream. We have to extract the depth information of object using OpenNI. We used OpenCV which is a computer vision system library and provide us the algorithms for computer vision. Afterwards the step is to recognize the detected gestures and control the computer according to the instructions provided by the user. These type of interactive application add interactivity in our lives and make it easy to understand the complex problems of our life easily. We will try to provide the paperless environment with the help of interactivity at such a level.
影响因子：
3.2
作者：
Zhang, Zhengyou
通讯作者：
Zhang, Zhengyou