CricketX UCR Archive Dataset

This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/. The series Cricket X, Y and Z are accelerometer data (in three dimensions) taken from actors performing cricket gestures. The twelve classes are different umpire signals: Cancel Call Dead Ball Four Last Hour Leg Bye No Ball One Short Out Penalty Runs Six TV Replay Wide. They mounted two accelerometers orthogonal to each other, thus acceleration is measured in 3D space. The accelerometers are housed in a small wrist watch sized enclosure worn in the form of a wrist band. Taken together the data is a multivariate time series classification problem, but the series are not aligned so in its current format cannot be used as such. The data has been normalised. Originally used in [1]. [1] Ko et al. "Online Context Recognition in Multisensor Systems using Dynamic Time Warping" https://ieeexplore.ieee.org/abstract/document/1595593 Donator: A. Mueen, E. Keogh本数据集隶属于南安普敦大学研究者维护的UCR档案库（UCR Archive）。若使用该数据集，请引用相关版本或最新的完整档案库发布版，详情请参阅http://www.timeseriesclassification.com/。 序列Cricket X、Y、Z为演员完成板球动作时采集的三维加速度计（accelerometer）数据，共包含12个类别，对应不同的板球裁判手势信号：取消判罚、死球、四分打、最后一小时、补分、无效球、短跑、出局、罚分、六分打、电视回放、宽球。 研究人员安装了两个相互正交的加速度计，因此可实现三维空间内的加速度采集。该加速度计被封装于尺寸类似腕表的小型外壳中，以腕带形式佩戴。 整体而言，该数据属于多变量时间序列分类（multivariate time series classification）任务，但由于各序列未对齐，当前格式无法直接用于该分类任务。数据已完成归一化处理。 本数据集最初被应用于文献[1]。[1] Ko 等：《基于动态时间规整（Dynamic Time Warping）的多传感器系统在线上下文识别》，链接：https://ieeexplore.ieee.org/abstract/document/1595593。 捐赠者：A. Mueen、E. Keogh