首页> 外文会议>International Convention on Information and Communication Technology, Electronics and Microelectronics >Investigation of natural user interfaces and their application in gesture-driven human-computer interaction
【24h】

Investigation of natural user interfaces and their application in gesture-driven human-computer interaction

机译:自然用户界面及其在手势驱动的人机交互中的应用研究

获取原文

摘要

As contribution the research study as outcome developed a software application and programmed several new recognition gestures and presented a set of tools supporting the spectrum of software engineering natural user interfaces to be used in University promotion and marketing. This research study tries to foster several contributions. Firstly, this system is built on basis of separate library used for the gesture recognition part of the application, which can also work separately from the system and can be used in different contexts. It is very extendable and allows the users to implement new gestures on top of the library, thus enriching its context and provides easy start for the user allowing him to concentrate to the business logic instead of the low level programming of the gesture recognition algorithms. Secondly, in addition to the basic gestures, created are several other gestures that add additional value to the library itself. New gestures that are added to the library are DownSwipe, UpSwipe, ClockwiseCircle, CounterClockwiseCircle, Push gestures, ManualDoorOpen gesture, AutomaticDoorOpen gesture and WalkingGesture. Thirdly, this research also contributes to researchers and professionals who are dedicated to a research in the area of natural user interfaces and their efforts in finding an effective algorithm for human gesture recognition. This research investigates different approached to gesture recognition, such as Record and recognize approach, Neural Networks approach and Gesture composition approach, presented which are their advantages and weaknesses and presented why chosen is the Gesture Composition approach.
机译:作为贡献,该研究作为结果开发了一个软件应用程序,并编程了几种新的识别手势,并提出了一套工具,这些工具支持可用于大学推广和市场营销的软件工程自然用户界面的范围。这项研究试图促进一些贡献。首先,该系统是基于用于应用程序手势识别部分的独立库构建的,该库也可以与系统分开工作,并且可以在不同的上下文中使用。它具有很好的可扩展性,并允许用户在库的顶部实现新手势,从而丰富了其上下文,并为用户提供了易于启动的方法,使他可以专注于业务逻辑,而无需进行手势识别算法的低级编程。其次,除了基本手势外,还创建了其他几个手势,这些手势为库本身增加了附加值。添加到库中的新手势包括DownSwipe,UpSwipe,ClockwiseCircle,CounterClockwiseCircle,Push手势,ManualDoorOpen手势,AutomaticDoorOpen手势和WalkingGesture。第三,这项研究还为致力于自然用户界面及其致力于寻找有效手势识别算法的研究人员和专业人员做出了贡献。这项研究调查了不同的手势识别方法,例如记录和识别方法,神经网络方法和手势组合方法,介绍了它们的优缺点,并介绍了为什么选择手势组合方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号