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Physical Actions Architecture: Context-Aware Activity Recognition in Mobile Devices

机译:物理动作体系结构:移动设备中的上下文感知活动识别

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摘要

Mobile phones are becoming the main computer and communication device in peoples lives and thanks to the embedded sensors providing in it will revolutionize the way to carry out with mobile devices. Another important point is that mobile devices are programmable and they provide a set of embedded sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and camera. Activity recognition aims to recognize actions and goals of one or more individual from a series of observations of themselves. This paper aims to provide an distributed architecture to recognize physical actions taken by users such us walking, running, being stand, sitting. Sensory data is collected by a mobile application made in Android and it sends to a server where prelearnt activities are recognized in real-time.
机译:移动电话正成为人们生活中的主要计算机和通信设备,这要归功于其提供的嵌入式传感器将彻底改变移动设备的执行方式。另一个重要的一点是,移动设备是可编程的,并且它们提供一组嵌入式传感器,例如加速度计,数字罗盘,陀螺仪,GPS,麦克风和照相机。活动识别旨在从对自己的一系列观察中识别一个或多个个体的行动和目标。本文旨在提供一种分布式架构,以识别用户所采取的身体动作,例如我们走路,跑步,站立,坐下。感官数据由Android中的移动应用程序收集,并将其发送到服务器,在服务器上实时识别预学习活动。

著录项

  • 来源
  • 会议地点 Salamanca(ES)
  • 作者单位

    Applied Artificial Intelligence Group, Universidad Carlos Ⅲ de Madrid, Avd. de la Universidad Carlos Ⅲ, 22, 28270, Colmenarejo, Madrid, Spain;

    Applied Artificial Intelligence Group, Universidad Carlos Ⅲ de Madrid, Avd. de la Universidad Carlos Ⅲ, 22, 28270, Colmenarejo, Madrid, Spain;

    Applied Artificial Intelligence Group, Universidad Carlos Ⅲ de Madrid, Avd. de la Universidad Carlos Ⅲ, 22, 28270, Colmenarejo, Madrid, Spain;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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