Long-term person activity datasets

This dataset contains information about a given person activity over several weeks. It was used to evaluate which type of spatio-temporal models improve the accuracy of activity classification over time. The dataset contains information about human activity in two different environments:

Dataset structure


Aruba apartment visualisationAruba sensor layout (see CASAS)

The Aruba folder contains activity.min, which indicates the activity performed by a home-bound person in a small apartment every minute for 16 weeks. In addition locations.min contains the person location (room) minute-by-minute as well. The location.names and activity.names indicate which rooms and activities correspond to which number in the activity.min and location.min files. Example: number 0 on line 10 of the location.min and number 2 on 10th line of activity.min indicate that in the 10th minute after midnight of the first day, the person was Eating in the Master bedroom. The Aruba dataset was extracted from the CASAS datasets.

Witham Wharf

Witham office overviewWitham office topological layout

The Witham Wharf directory contains activity of a particular student in an open-plan office for three weeks. Again, locations.names and activity.names files describe the locations and activities, which are stored in location.min and activity.min files.

These contain the student's activity and location on a minute-by-minute basis.


All of these datasets are available for download in a single archive file. After you unzip the file, you get two folders which correspond to the individual datasets.

Condition of use

If you use the dataset for your research, please cite our paper that describes it. We attached a bibtex record for your convenience. If you use the Aruba subset, you must also acknowledge the original CASAS paper.

This dataset is part of the larger LCAS-STRANDS long-term dataset collection.