MMAct

该数据集名为MMAct，是一个大规模的数据集，包含了约1900个序列，涵盖了35个动作类别，来自40位参与者在7种不同模态下的数据。由于数据收集过程中场景和用户朝向的多样性，该数据集在动作识别任务中提出了较大的挑战。其规模属于大型，所针对的任务是人类动作识别。

The dataset named MMAct is a large-scale dataset that includes approximately 1,900 sequences covering 35 action categories, with data collected from 40 participants across 7 distinct modalities. Given the diversity of scenarios and user orientations during data collection, this dataset poses substantial challenges for human action recognition tasks. As a large-scale dataset, it is specifically designed for the task of human action recognition.