Activity Recognition based on High-Level Reasoning - An Experimental Study Evaluating Proximity to Objects and Pose Information

Julia Richter, Christian Wiede, Enes Dayangac, Markus Heß, Gangolf Hirtz

2016

Abstract

In the context of Ambient Assisted Living (AAL), the detection of daily activities is an active field of research. In this study, we present an algorithm for the performed Activities of Daily Living (ADLs) related to personal hygiene, which is based on the evaluation of a person’s proximity to objects and pose information. To this end, we have employed a person detection algorithm that provides a person’s position within a room. By fusing the obtained position with the objects’ position, we were able to deduce whether the person was occupied with a certain object and to draw conclusions about the performed ADLs. One prerequisite for a reliable modelling of human activities is the knowledge about the accuracy of the person detection algorithm. We have, therefore, analysed the algorithm with regard to its accuracy under different, application-specific conditions. The results show that the considered algorithm ensures high accuracy for our AAL application and that it is even suitable for environments, in which objects are very close to each other. On the basis of these findings, tests with video sequences have been conducted in an AAL environment. This evaluation confirmed that the reasoning algorithm can reliably recognise activities related to personal hygiene.

Paper Citation

in Harvard Style

Richter J., Wiede C., Dayangac E., Heß M. and Hirtz G. (2016). Activity Recognition based on High-Level Reasoning - An Experimental Study Evaluating Proximity to Objects and Pose Information . In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 415-422. DOI: 10.5220/0005658804150422

in Bibtex Style

@conference{icpram16,
author={Julia Richter and Christian Wiede and Enes Dayangac and Markus Heß and Gangolf Hirtz},
title={Activity Recognition based on High-Level Reasoning - An Experimental Study Evaluating Proximity to Objects and Pose Information},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={415-422},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005658804150422},
isbn={978-989-758-173-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Activity Recognition based on High-Level Reasoning - An Experimental Study Evaluating Proximity to Objects and Pose Information
SN - 978-989-758-173-1
AU - Richter J.
AU - Wiede C.
AU - Dayangac E.
AU - Heß M.
AU - Hirtz G.
PY - 2016
SP - 415
EP - 422
DO - 10.5220/0005658804150422