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Audiovisual Assistance for the Elderly - An Overview of the FEARLESS Project

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Toward Useful Services for Elderly and People with Disabilities (ICOST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6719))

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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.

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References

  1. 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)

    Google Scholar 

  2. Aldrich, F.: Smart Homes: Past, Present and Future. In: Harper, R. (ed.) Inside the Smart Home, pp. 17–39. Springer, London (2003)

    Chapter  Google Scholar 

  3. 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)

    Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. 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)

    Article  MATH  Google Scholar 

  6. 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)

    Google Scholar 

  7. Gales, M., Young, S.: The Application of Hidden Markov Models in Speech Recognition. Foundations and Trends in Signal Processing 1(3), 195–304 (2008)

    Article  MATH  Google Scholar 

  8. 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)

    Google Scholar 

  9. 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)

    Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. 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)

    Article  Google Scholar 

  12. 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)

    Google Scholar 

  13. 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)

    Google Scholar 

  14. 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)

    Google Scholar 

  15. 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)

    Google Scholar 

  16. 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)

    Google Scholar 

  17. 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)

    Google Scholar 

  18. 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)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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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

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  • 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

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