GOTOV

该数据集是近期收集的，特别关注老年人群体的活动数据，涵盖了16种日常活动，共有35名参与者贡献了数据。该数据集以每秒83次的采样率记录了9个维度的数据，并采用了留出法进行评估。其研究任务是人体活动识别。

This dataset was recently collected with a specific focus on activity data from elderly populations. It covers 16 types of daily activities, with a total of 35 participants contributing data. The dataset records 9-dimensional data at a sampling rate of 83 times per second, and the hold-out method was adopted for evaluation. The core research task of this dataset is human activity recognition.