Abstract
A video monitoring system is presented which aims to detect falls and other critical situations of people living single. Seniors are particularly likely to experience high-risk situations. If, for example, an elderly person falls and cannot call for help independently, it often takes hours or even days until the emergency is noticed and assistance will be provided. The presented video monitoring system is to mitigate situations of this kind. If an emergency is detected, an automatic alarm will be raised. One of the main aspects of the developed assistance system is to be as unobtrusive as possible to achieve a high acceptance among the users. Moreover, the system needs to work very robustly in individual home environments. The fall detection system is part of an extensive real-life Ambient Assisted Living (AAL) concept with many other extended support functions.
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Malmivaara, A., Heliovaara, M., Knekt, P., Reunanen, A., Aromaa, A.: Risk Factors for Injurious Falls Leading to Hospitalization or Death in a Cohort of 19,500 Adults. American Journal of Epidemiology 138, 384–394 (1993)
Gostynski, M.: Häufigkeit, Umstände und Konsequenzen von Stürzen institutionalisierter Betagter; eine Pilotstudie. Sozial- und Präventivmedizin 36, 341–345 (1991)
Gurley, R.J., Lum, N., Sande, M., Lo, B., Katz, M.H.: Persons found in their homes helpless or dead. New England Journal of Medicine 334, 1710–1716 (1996)
Wild, D., Nayak, U.S., Isaacs, B.: How dangerous are falls in old people at home? British Medical Journal 282, 266–268 (1981)
Boissy, P., Choquette, S., Hamel, M., Noury, N.: User-based motion sensing and fuzzy logic for automated fall detection in older adults. Telemedicine and e-Health 13, 683–693 (2007)
Zhang, T., Wang, J., Xu, L., Liu, P.: Using Wearable Sensor and NMF Algorithm to Realize Ambulatory Fall Detection. In: Jiao, L., Wang, L., Gao, X.-b., Liu, J., Wu, F. (eds.) ICNC 2006. LNCS, vol. 4222, pp. 488–491. Springer, Heidelberg (2006)
Cucchiara, R., Prati, A., Vezzani, R.: A multi-camera vision system for fall detection and alarm generation. Expert Systems: International Journal of Knowledge Engineering and Neural Networks 24, 334–345 (2007)
McKenna, S.J., Charif, H.N.: Summarising contextual activity and detecting unusual inactivity in a supportive home environment. Pattern Analysis & Applications 7, 386–401 (2004)
Pham, Q.C., Dhome, Y., Gond, L., Sayd, P.: Video monitoring of vulnerable people in home environment. In: Helal, S., Mitra, S., Wong, J., Chang, C.K., Mokhtari, M. (eds.) ICOST 2008. LNCS, vol. 5120, pp. 90–98. Springer, Heidelberg (2008)
Litz, L., Groß, M.: Covering Assisted Living Key Areas based on Home Automation Sensors. In: 2007 IEEE International Conference on Networking, Sensing, and Control, vol. 1, 2, pp. 639–643. IEEE Press, New York (2007)
Litz, L., Groß, M.: Concepts and Realization of an Assisted Living Project by extended Home Automation. International Conferences on Caregiving, Disability, Aging and Technology, Toronto, Canada (2007)
Brinkmann, M., Floeck, M., Litz, L.: Concept and Design of an AAL home monitoring system based on a personal computerized assistive unit. In: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds.) Constructing Ambient Intelligence: AmI 2007 Workshops, pp. 218–227. Springer, Heidelberg (2008)
Open Computer Vision Library, http://sourceforge.net/projects/opencvlibrary/
Burger, W., Burge, M.J.: Digitale Bildverarbeitung – Eine Einführung mit Java und ImageJ. Springer, Berlin (2006)
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Schulze, B., Floeck, M., Litz, L. (2009). Concept and Design of a Video Monitoring System for Activity Recognition and Fall Detection. In: Mokhtari, M., Khalil, I., Bauchet, J., Zhang, D., Nugent, C. (eds) Ambient Assistive Health and Wellness Management in the Heart of the City. ICOST 2009. Lecture Notes in Computer Science, vol 5597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02868-7_23
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DOI: https://doi.org/10.1007/978-3-642-02868-7_23
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