PAM

该数据集名为PAMAP2身体活动监测（PAM dataset），记录了9名受试者日常生活中的活动数据，通过3个惯性测量单元进行测量。经过调整后，数据集包含了5,333个传感器信号片段，每个片段包含17个传感器，并且每个传感器有600个连续样本。此外，为了进行不规律时间序列分类，该数据集通过随机移除60%的样本进行了修改。该数据集的规模为5,333个片段，涉及17个传感器，任务是对其进行分类。

This dataset is named PAMAP2 Physical Activity Monitoring (PAM dataset). It records daily activity data from 9 subjects, measured using 3 inertial measurement units. After adjustment, the dataset contains 5,333 sensor signal segments, where each segment encompasses data from 17 sensors, and each sensor's signal within the segment comprises 600 consecutive samples. To facilitate irregular time series classification, the dataset was further modified by randomly removing 60% of the samples. The dataset consists of 5,333 segments involving data from 17 sensors, and the core task is to perform classification on this dataset.