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Turning Homes into Low-Cost Ambient Assisted Living Environments

机译:将房屋变成低成本的环境辅助生活环境

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Today motion recognition has become more popular in areas like health care. In real-time environments, the amount of information and data required to compute the user's motion is substantial, while the time to collect and process this information are crucial parameters in the performance of a motion recognition system. The nature of the data determines the design of the system. One important aspect of this system is reducing the delay between sensing and recognising a motion, while achieving acceptable levels of accuracy. The detection of humans in images is a challenging problem. In this paper, the authors present a solution using the Kinect, a motion sensing input device by Microsoft designed for the Xbox 360 console, to create an Ambient Assisted Living (AAL) application which monitors a person's position, labels objects around a room, takes voice input, and raises alerts in case of falls. The authors present a number of modules like converting Kinect Skeletal Data to allow mouse control via hand movement, building a Finite State Machine (FSM), obtaining pose information, voice commands to allow interaction with the application, and face detection and recognition. The authors use different algorithms to achieve the required outcome.
机译:如今,运动识别已在医疗保健等领域变得越来越流行。在实时环境中,计算用户运动所需的信息和数据量很大,而收集和处理此信息的时间是运动识别系统性能的关键参数。数据的性质决定了系统的设计。该系统的一个重要方面是减少感测和识别运动之间的延迟,同时达到可接受的精度水平。在图像中检测人类是一个具有挑战性的问题。在本文中,作者提出了一种解决方案,该解决方案使用Microsoft的运动感测输入设备Kinect(专为Xbox 360控制台设计)来创建环境辅助生活(AAL)应用程序,该应用程序可以监视人的位置,为房间周围的物体添加标签,语音输入,并在跌倒时发出警报。作者介绍了许多模块,例如转换Kinect骨骼数据以允许通过手部移动进行鼠标控制,构建有限状态机(FSM),获取姿势信息,语音命令以允许与应用程序交互以及面部检测和识别。作者使用不同的算法来达到所需的结果。

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