A Human Morning Routine Dataset

Michael Karg (1) , Alexandra Kirsch (1, 2, 3)

1 Institute for Advanced Studies
2 Intelligent Autonomous Systems
3 Human-Computer Interaction and Artificial Intelligence

To be able to evaluate and compare the quality of different approaches in research, general and publicly available datasets are needed. While in some areas, there exists a variety of such datasets that are constantly used by researchers, in the area of activity recognition and human activity modelling, the number of publicly available datasets is rather small. In this extended abstract, we introduce a new dataset that captures several typical activities of a human morning routine of a single male person that includes motion tracking data for the person and objects from real sensors and a simulation as well as ground truth information in the form of diary notes. The dataset is intended to ease comparison between different approaches in the afrementioned research areas and free researchers from the time-consuming task of recording new datasets.

Mots clés: Human Factors; Datasets; Human Behavior Modelling; Activity Recognition

Domaines: Intelligence artificielle [cs.AI]; Interface homme-machine [cs.HC]; Robotique [cs.RO]

Michael Karg, Alexandra Kirsch. A Human Morning Routine Dataset. 13th International Conference on Autonomous Agents and Multiagent Systems, 2014, Paris, France. ⟨hal-01691654⟩