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Context aware algorithm

机译：上下文感知算法

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Context-Aware Algorithm has been developed for Human Physical Movement Activity Recognition. This Algorithm internally takes the data from the different sensor devices as an input and provides classified data as an output to the application layer. The Algorithm shall have the capability to contain different context aware algorithms. This Context-Aware Algorithm is flexible and modular enough to be ported to any platform with minimal efforts. The Algorithm has been tested and developed on TI Sensor Tag which is based on CC2650 wireless MCU. In this paper, we have made this algorithm to be able to run on Android Platform as nowadays smart-phone platforms are equipped with a diverse and powerful set of sensors. This work is significant because the Human Movement activity recognition permits us to gain useful knowledge about the habits of millions of users passively just by having them carry cell phones in their pockets. Our work has a wide range of applications enabled by activity recognition, like automatic customization of the mobile devices behavior based upon a user's activity (e.g., sending calls directly to voice-mail, if a user is running) and generating a daily activity profile to determine if a user is performing a healthy amount of exercise.
机译：已经开发了用于人体运动活动识别的上下文感知算法。该算法在内部将来自不同传感器设备的数据作为输入，并将分类的数据作为输出提供给应用程序层。该算法应具有包含不同上下文感知算法的能力。这种上下文感知算法灵活且模块化，足以以最小的努力移植到任何平台。该算法已在基于CC2650无线MCU的TI传感器标签上经过测试和开发。在本文中，由于当今的智能手机平台配备了多种强大的传感器，因此我们使该算法能够在Android平台上运行。这项工作意义重大，因为人类运动活动识别功能使我们能够被动地获得数百万用户的习惯的有用知识，而仅仅是使他们的口袋里携带手机。我们的工作有很多通过活动识别实现的应用程序，例如根据用户的活动自动自定义移动设备行为（例如，如果用户正在运行，则直接将呼叫发送到语音邮件）并生成每日活动配置文件以确定用户是否正在执行健康的运动量。

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