Collaborative Vision Network for Personalized Office Ergonomics

Tommi Määttä, Aki Härmä, Chih-Wei Chen, Hamid Aghajan


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 Harvard Style

Määttä T., Härmä A., Chen C. 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

in Bibtex Style

author={Tommi Määttä and Aki Härmä and Chih-Wei Chen 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)},

in EndNote Style

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 - Härmä A.
AU - Chen C.
AU - Aghajan H.
PY - 2014
SP - 403
EP - 410
DO - 10.5220/0004683604030410