Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications

This is the dataset that accompanies the paper 'Dataset: Toothbrushing Data and Analysis of its Potential Use in Human Activity Recognition Applications'. In this paper, we describe and analyze a time-series dataset from toothbrushing activity using brush-attached and wearable sensors. The data was collected from 17 participants when they brushed their teeth over one week in 5 different locations. The dataset consists of 62 toothbrushing sessions for each of the brush-attached and wearable sensor approaches, using both electric and manual brushes. The average duration of each session is 2 minutes. One sensor device was attached to the handle of the brush while the other was worn by the participants as a wrist-watch. We collected the data from a 3-axis accelerometer and a 3-axis gyroscope at a 200 Hz sampling rate. Accompanying code can be found at our GitHub repository https://github.com/icl-mq/toothbrushing-dataset. This repository contains example code demonstrating how to process the data along with the file metadata.本数据集配套于论文《数据集：刷牙数据及其在人类活动识别应用中的潜力分析》。本论文中，我们针对基于牙刷附着式与可穿戴传感器采集的刷牙活动时序数据集展开描述与分析。该数据采集自17名参与者，他们在为期一周内的5个不同地点开展刷牙活动期间完成数据采集。本数据集包含两类传感器采集方案下的刷牙会话数据各62条，涵盖电动牙刷与手动牙刷两种类型。每条会话数据的平均时长为2分钟。其中一台传感器装置附着于牙刷手柄，另一台则以腕表形式由参与者佩戴于手腕。我们通过三轴加速度计（3-axis accelerometer）与三轴陀螺仪（3-axis gyroscope）采集数据，采样率为200赫兹（Hz）。配套代码可在我们的GitHub仓库https://github.com/icl-mq/toothbrushing-dataset中获取，该仓库包含演示数据处理方法的示例代码，以及数据集文件的元数据信息。