# Localization Data for Person Activity

## Person Activity Data Set

These datums represent a multi-agent system for the care of elderly people living at home on their own, with the aim to prolong their independence. The system was designed to provide a reliable, robust and flexible monitoring by sensing the user in the environment, reconstructing the position and posture to create the physical awareness of the user in the environment, reacting to critical situations, calling for help in the case of an emergency, and issuing warnings if unusual behavior was detected.

People used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest).
Each instance is a localization data for one of the tags. The tag can be identified by one of the attributes.

 Relevant Papers: B. Kaluza, V. Mirchevska, E. Dovgan, M. Lustrek, M. Gams, An Agent-based Approach to Care in Independent Living, International Joint Conference on Ambient Intelligence (AmI-10), Malaga, Spain, In press

## Evaluation

The evaluation of this dataset is done using Area Under the ROC curve (AUC).

# Use of external data is not permitted. This includes use of pre-trained models.Hand-labeling is allowed on the training dataset only. Hand-labeling is not permitted on test data and will be grounds for disqualification.

Rank Team Score Count Submitted Date

Citation Policy:

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.