Long Term Movement Monitoring dataset (LTMM)

该数据集名为LTMM，包含了71位老年人连续三天佩戴加速度计和陀螺仪所记录的数据，期间未给予任何指示。这些数据均为长期自发行为，对于识别反复出现的生活活动模式具有重要意义。值得注意的是，该数据集不包含标签，周期性是基于提取的特征向量之间的度量而非直接的信号测量来确定。为了在保持数据结构的同时增加数据集大小，还进行了数据增强处理。该数据集的规模涉及71名受试者，其任务是基于惯性数据对日常活动进行聚类分析。

This dataset, named LTMM, contains data recorded by 71 elderly individuals who wore accelerometers and gyroscopes continuously for three days, with no instructions provided during the monitoring period. All collected data captures long-term spontaneous behaviors, which are of great significance for identifying recurring patterns of daily living activities. Notably, this dataset contains no labels, and periodicity is determined based on the metrics between extracted feature vectors rather than direct signal measurements. To expand the dataset size while preserving the original data structure, data augmentation was additionally performed. Involving a total of 71 participants, this dataset is designed for the task of conducting clustering analysis on daily activities using inertial data.