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Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices

机译:每日生活的活动与运动:来自移动设备的加速度计,磁力计和陀螺数据的数据集

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The dataset presented in this paper is related to the performance of five Activities of Daily Living (ADL) with motion, such as walking, running, standing, walking upstairs, and walking downstairs. These activities were performed with a mobile device in a waistband, containing the data acquired from accelerometer, magnetometer, and gyroscope sensors. These data include the motion data, which allow the characterization of the different types of movement. The data acquisition was performed in open environments by 25 individuals (15 man, and 10 woman) in the Covilh?, and Fund?o municipalities (Portugal). The data related to the different sensors was acquired with a sampling rate of 100?Hz by the accelerometer, 50?Hz by the magnetometer, and 100 Hz by the gyroscope sensors. It includes the captures related to a minimum of 2000 captures for each ADL, which corresponds to 2.8?h (approximately) for each ADL. In total, this dataset includes 13.9?h (approximately) of captures. These data can be reused for the implementation of data processing techniques, and artificial intelligence methods.
机译:本文呈现的数据集与动议的日常生活(ADL)活动的性能有关,如行走,跑步,站立,楼上,楼下楼下。这些活动在腰带中使用移动设备进行,其中包含从加速度计,磁力计和陀螺传感器获取的数据。这些数据包括运动数据,其允许表征不同类型的运动。数据采集​​在Covilh的25个人(15人和10名女性)的开放环境中进行了在开放的环境中进行,而基金?O城市(葡萄牙)。与不同传感器相关的数据以加速度计的加速度计,通过磁力计50ΩHz的采样率获得,通过陀螺仪传感器100 Hz。它包括每个ADL的至少2000次捕获的捕获,这对应于每个ADL的2.8?H(大约)。总共,该数据集包括13.9?H(大约)捕获。可以重复使用这些数据来实现数据处理技术和人工智能方法。

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