Abstract
This paper gives an overview of the recently granted AAL-JP project FEARLESS which stands for “Fear Elimination As Resolution for Loosing Elderly’s Substantial Sorrows”. The proposed project aims to reduce elderly’s fears within their homes. As elderly potentially refuse or forget to wear any additional sensors to activate alarm calls, FEARLESS will visually and acoustically detect and handle risks by contacting the relatives or care taker organization automatically - without the need of any user intervention. This is done by using only one single type of sensor making the system affordable for everyone. It increases the feeling of safety, reduces fears, enhances the self-efficacy and thus enables elderly to be more active, independent and mobile in today’s self-serve society.
This work was supported by the European Union under grant AAL 2010-3-020.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aghajan, H., Wu, C., Kleihorst, R.: Distributed Vision Networks for Human Pose Analysis. Signal Processing Techniques for Knowledge Extraction and Information Fusion, 181–200 (2008)
Aldrich, F.: Smart Homes: Past, Present and Future. In: Harper, R. (ed.) Inside the Smart Home, pp. 17–39. Springer, London (2003)
Anderson, D., Keller, J.M., Skubic, M., Chen, X., He, Z.: Recognizing falls from silhouettes. In: Proc. of the 28th Annual Int. Conf. on Engineering in Med. and Biology Society, pp. 6388–6391 (2006)
Anderson, D., Luke, R.H., Keller, J.M., Skubic, M., Rantz, M., Aud, M.: Linguistic Summarization of Video for Fall Detection Using Voxel Person and Fuzzy Logic. Computer Vision and Image Understanding 113, 80–89 (2009)
Doulamis, A.D., Doulamis, N.D., Kollias, S.D.: A fuzzy video content representation for video summarization and content-based retrieval. Signal Processing 80(6), 1049–1067 (2000)
Fisk, M.J.: The implication of smart home technologies. In: Peace, S.M., Holland, C. (eds.) Inclusive Housing in an Ageing Society: Innovative Approaches, pp. 101–124. Policy Press, Bristol (2001)
Gales, M., Young, S.: The Application of Hidden Markov Models in Speech Recognition. Foundations and Trends in Signal Processing 1(3), 195–304 (2008)
Grabner, H., Leistner, C., Bischof, H.: Time Dependent On-line Boosting for Robust Background Modeling. In: Proc. of the Int. Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 612–618 (2008)
Kampel, M., Wildenauer, H., Blauensteiner, P., Hanbury, A.: Improved motion segmentation based on shadow detection. Electronic Letters on Computer Vision and Image Analysis 6(3), 1–12 (2007)
Laptev, I., Caputo, B., Schüldt, B., Lindeberg, T.: Local velocity-adapted motion events for spatio-temporal recognition. Computer Vision and Image Understanding 108(3), 207–229 (2007)
Mihailidis, A., Carmichael, B., Boger, J.: The Use of Computer Vision in an Intelligent Environment to Support Aging-in-Place, Safety, and Independence in the Home. IEEE Transactions on Information Technology in Biomed. 3, 238–247 (2004)
Noury, N., Fleury, A., Rumeau, P., Bourke, A.K., Laighin, G., Rialle, V., Lundy, J.E.: Fall Detection Principles and Methods. In: Proc. of the 29th Int. Conf. of Engineering in Med. and Biology Society, pp. 1663–1666 (2007)
Noury, N., Rumeau, P., Bourke, A.K., Laighin, G., Lundy, J.E.: A Proposal for the Classification and Evaluation of Fall Detectors. BioMedical Engineering and Research 29, 340–349 (2008)
Rougier, C., Meunier, J., St-Arnaud, A., Rousseau, J.: Monocular 3D head tracking to detect falls of elderly people. In: Proc. of the 28th Annual Int. Conf. on Engineering in Med. and Biology Society, pp. 6384–6387 (2006)
Rougier, C., Meunier, J., St-Arnaud, A., Rousseau, J.: Fall Detection from Human Shape and Motion History Using Video Surveillance. In: Proc. of the 21st Int. Conf. on Advanced Information Networking and Applications Workshops, pp. 875–880 (2007)
Stöttinger, J., Zambanini, S., Khan, R.U., Hanbury, A.: FeEval - A Dataset for Evaluation of Spatio-temporal Local Features. In: Proc. of the 20th Int. Conf. on Pattern Recognition, pp. 499–502 (2010)
Zambanini, S., Kampel, M., Machajdik, J.: Computer Vision for an Independent Lifestyle of the Elderly and Disabled - An Overview of the MuBisA Project. In: Proc. of the AALIANCE Conf. (2010)
Zambanini, S., Machajdik, J., Kampel, M.: Early versus Late Fusion in a Multiple Camera Network for Fall Detection. In: Proc. of the 34th Annual Workshop of the Austrian Association f. Pattern Recognition, pp. 15–22 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Planinc, R., Kampel, M., Zambanini, S. (2011). Audiovisual Assistance for the Elderly - An Overview of the FEARLESS Project. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds) Toward Useful Services for Elderly and People with Disabilities. ICOST 2011. Lecture Notes in Computer Science, vol 6719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21535-3_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-21535-3_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21534-6
Online ISBN: 978-3-642-21535-3
eBook Packages: Computer ScienceComputer Science (R0)