loading
Documents

Research.Publish.Connect.

Paper

Authors: Julia Richter ; Christian Wiede ; Enes Dayangac ; Markus Heß and Gangolf Hirtz

Affiliation: Chemnitz University of Technology, Germany

ISBN: 978-989-758-173-1

Keyword(s): Video Analysis, 3-D Image Processing, Activity Recognition, Pose Estimation, High-Level Reasoning, Ambient Assisted Living.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Data Engineering ; Human-Computer Interaction ; Image and Video Analysis ; Image Understanding ; Information Retrieval ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Ontologies and the Semantic Web ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Video Analysis

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. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.84.236.168

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.