Abstract
The world’s population is aging; we are already facing many socioeconomic challenges directly related to this problem. These challenges will only tend to grow as time passes. If viable solutions are not found in time, these challenges will become unbearable as the elderly population surpasses the younger population.
One of the more serious health problems faced by the elderly are falls that are not succored fast enough. In this paper we discuss the motivations behind our work and specially our focus on fall detection.
We will also present the new Elder Care’s fall detection system, resultant of our research in the area of statistical regression.
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Felisberto, F., Felgueiras, M., Domingues, P., Fdez-Riverola, F., Pereira, A. (2011). Improving the Elder Care’s Wireless Sensor Network Fall Detection System Using Logistic Regression. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24352-3_34
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DOI: https://doi.org/10.1007/978-3-642-24352-3_34
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