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Wireless body area network's application for motion detection based on Android smartwatch

机译：基于Android SmartWatch的无线人体局域网在运动检测中的应用

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Short-range, wireless communications in the vicinity of, or inside, a human body (but not limited to humans) are specified in this standard. It uses existing industrial scientific medical (ISM) bands as well as frequency bands approved by national medical and/or regulatory authorities. These sensors provide accurate and reliable information about the situation or activity occurring at any time. This high responsiveness of these sensors has made lives easy and safe. This article will perform an investigation on the WBAN's application for motion detection based on android smartwatch. The main problem is how to the sensors that attached on the human body can send of data via Bluetooth and read the motion and orientation of the body and display in the graph form. However, if the sensors do not match, the result of output display inappropriate. This article proposed method by using accelerometer and gyroscope sensors which are integrated with smartwatch to overcome the main problem. This application will display results in the form of numeric values and then convert in graph form. These results have proven that WBAN's application for motion sensing can be used for detection of motion and orientation via Bluetooth based on android smartwatch.
机译：本标准规定了人体（但不限于人体）附近或内部的短距离无线通信。它使用现有的工业科学医学（ISM）频段以及国家医学和/或监管机构批准的频段。这些传感器可提供有关随时发生的情况或活动的准确和可靠的信息。这些传感器的高响应速度使生活变得轻松而安全。本文将对WBAN基于android smartwatch的运动检测应用程序进行调查。主要问题在于，连接到人体上的传感器如何通过蓝牙发送数据并读取人体的运动和方向并以图形形式显示。但是，如果传感器不匹配，则输出结果显示不当。本文提出了通过与智能手表集成的加速度计和陀螺仪传感器来克服主要问题的方法。该应用程序将以数值形式显示结果，然后以图形形式转换。这些结果证明，WBAN的运动感测应用程序可通过基于android smartwatch的蓝牙用于运动和方向检测。

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