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Real Time Hand Gesture Recognition System for Dynamic Applications

机译:动态应用的实时手势识别系统

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Virtual environments have always been considered as a means for more visceral and efficient humancomputer interaction by a diversified range of applications. The spectrum of applications includes analysisof complex scientific data, medical training, military simulation, phobia therapy and virtual prototyping.Evolution of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen arenot sufficient for the still widening spectrum of Human computer interaction. Gloves and sensor basedtrackers are unwieldy, constraining and uncomfortable to use. Due to the limitation of these devices theuseable command set based diligences is also limited. Direct use of hands as an input device is aninnovative method for providing natural Human Computer Interaction which has its inheritance from textbasedinterfaces through 2D graphical-based interfaces, multimedia-supported interfaces, to full-fledgedmulti-participant Virtual Environment (VE) systems. Conceiving a future era of human-computerinteraction with the implementations of 3D application where the user may be able to move and rotateobjects simply by moving and rotating his hand - all without help of any input device.The research effort centralizes on the efforts of implementing an application that employs computer visionalgorithms and gesture recognition techniques which in turn results in developing a low cost interfacedevice for interacting with objects in virtual environment using hand gestures. The prototype architectureof the application comprises of a central computational module that applies the camshift technique fortracking of hands and its gestures. Haar like technique has been utilized as a classifier that is creditworthyfor locating hand position and classifying gesture. The patterning of gestures has been done for recognitionby mapping the number of defects that is formed in the hand with the assigned gestures. The virtual objectsare produced using Open GL library. This hand gesture recognition technique aims to substitute the use ofmouse for interaction with the virtual objects. This will be useful to promote controlling applications likevirtual games, browsing images etc in virtual environment using hand gestures.
机译:虚拟环境一直被认为是通过各种应用程序实现更直观,更有效的人机交互的一种方式。应用范围包括复杂的科学数据分析,医学培训,军事模拟,恐怖症治疗和虚拟原型设计。普适计算的发展,当前与键盘,鼠标和笔的用户交互方法不足以进一步扩大人机交互的范围。手套和基于传感器的跟踪器笨重,受约束且使用起来不舒服。由于这些设备的限制,基于可用命令集的努力也受到限制。直接使用手作为输入设备是一种创新的方法,可提供自然的人机交互,该交互具有从基于文本的界面,通过基于2D图形界面的界面,受多媒体支持的界面到成熟的多参与者虚拟环境(VE)系统的继承。通过3D应用程序的实现来构想人机交互的未来时代,用户可以仅通过移动和旋转其手就可以移动和旋转对象-所有这些都无需任何输入设备的帮助。研究工作集中在实现使用计算机视觉算法和手势识别技术的应用程序,其反过来导致开发出一种低成本的接口设备,用于使用手势与虚拟环境中的对象进行交互。该应用程序的原型体系结构包括一个中央计算模块,该模块应用camshift技术来跟踪手及其手势。类似Haar的技术已被用作值得信赖的分类器,用于定位手的位置和对手势进行分类。手势的图案化已通过映射在手中形成的缺陷数与指定的手势进行识别。虚拟对象是使用Open GL库生成的。这种手势识别技术旨在替代使用鼠标来与虚拟对象进行交互。这将有助于促进使用手势在虚拟环境中控制诸如虚拟游戏,浏览图像等应用程序。

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