Multi-user activity recognition database (First part)

First part of the data repository related to the publication "Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications". The remaining part of the dataset is present at another repository with the same name on Figshare.The data is composed by .csv files with the datastream from the Azure Kinect camera used in the experiment. The files starting with "s##_a##" have 3 columns each, referring to the spatial coordinates of the body frames. In the file name, "s##" identifies the subject, "a##" the activity (01: working, 02: requesting, 03: preparing), "t##" the task (not used for this work) and "r##" the repetition.If you are interested in the raw rosbag2 files, please contact the developer Francesco Semeraro at [e-mail]