Architecture for the integration of the Leap Motion device into application development

Ricardo Arellano Morales, M. Figueroa, Lisbeth Rodríguez Mazahua, Hilarión Muñoz Contreras, Ulises Juárez Martínez
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Abstract

Leap Motion is one of the most prominent and widely used hand tracking devices, solutions that make use of this device range from fields like education, health, or videogames, although it is not reported a tool that make easier the integration of the device with the development of applications controlled by hand gesture interfaces. An architecture is proposed alongside a set of gestures ready to be used in the development process of gesture interface applications. To support gesture recognition, skeletal information provided by Leap Motion is used in combination with a machine learning model.
将Leap Motion设备集成到应用程序开发中的体系结构
Leap Motion是最突出和广泛使用的手部跟踪设备之一,利用该设备的解决方案范围从教育,健康或视频游戏等领域,尽管没有报道一种工具可以使设备与手势界面控制的应用程序的开发更容易集成。在手势界面应用程序的开发过程中,提出了一种体系结构和一组手势。为了支持手势识别,Leap Motion提供的骨骼信息与机器学习模型结合使用。
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