mnemoraorg/smartphone-and-smartwatch-activity-and-biometrics-15m6

这是一个包含来自51名志愿者的智能手机和智能手表三轴加速度计和陀螺仪数据流的15.6百万样本的多设备时间序列语料库。每个参与者在进行18种日常活动时携带智能手机和智能手表，每种活动持续三分钟，生成以20Hz采样的同步记录。数据集分为四个目录，每个目录包含51个按参与者划分的文件。除了原始轨迹外，还提供了预计算的10秒滑动窗口特征，这些特征可用于活动识别和行为生物特征研究。This is a 15.6-million-sample, multi-device time-series corpus that unites 3-axis accelerometer and gyroscope streams from 51 volunteers. Each participant carried a smartphone and smartwatch while performing 18 everyday activities for three minutes apiece, generating synchronized recordings sampled at 20 Hz. The dataset is split into four directories, each containing 51 per-subject files. Alongside raw traces, pre-computed 10-second sliding-window features are provided, enabling both activity-recognition and behavioral-biometric research.