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Authors: Tommi Määttä 1 ; Chih-Wei Chen 2 ; Hamid Aghajan 2 and Aki Härmä 3

Affiliations: 1 Eindhoven University of Technology, Netherlands ; 2 Stanford University and Gent University, United States ; 3 Philips Research Laboratories, Netherlands

ISBN: 978-989-758-004-8

Keyword(s): Multiple Cameras, Movement Analysis, Sensor Fusion, Office Ergonomics.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Segmentation and Grouping ; Video Surveillance and Event Detection

Abstract: This paper proposes a collaborative vision network that leverages a personal webcam and cameras of the workplace to provide feedback relating to an office-worker’s adherence to ergonomic guidelines. This can lead to increased well-being for the individual and better productivity in their work. The proposed system is evaluated with a recorded multi-camera dataset from a regular office environment. First, analysis results on various ergonomic issues are presented based on personal webcams of the two workers. Second, both personal and ambient cameras are used through sensor fusion to infer the mobility state of one of the workers. Results for various fusion approaches are shown and their impact on vision network design is briefly discussed.

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Paper citation in several formats:
Määttä, T.; Chen, C.; Härmä, A. and Aghajan, H. (2014). Collaborative Vision Network for Personalized Office Ergonomics.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 403-410. DOI: 10.5220/0004683604030410

@conference{visapp14,
author={Tommi Määttä. and Chih{-}Wei Chen. and Aki Härmä. and Hamid Aghajan.},
title={Collaborative Vision Network for Personalized Office Ergonomics},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={403-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004683604030410},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Collaborative Vision Network for Personalized Office Ergonomics
SN - 978-989-758-004-8
AU - Määttä, T.
AU - Chen, C.
AU - Härmä, A.
AU - Aghajan, H.
PY - 2014
SP - 403
EP - 410
DO - 10.5220/0004683604030410

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