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Detection of Human Impacts by an Adaptive Energy-Based Anisotropic Algorithm

Author

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  • Manuel Prado-Velasco

    (Multilevel Modeling and Emerging Technologies in Bioengineering (M2TB), University of Seville, Escuela Superior de Ingenieros, C. de los Descubrimientos s/n, Sevilla 41092, Spain)

  • Rafael Ortiz Marín

    (Multilevel Modeling and Emerging Technologies in Bioengineering (M2TB), University of Seville, Escuela Superior de Ingenieros, C. de los Descubrimientos s/n, Sevilla 41092, Spain)

  • Gloria Del Rio Cidoncha

    (Multilevel Modeling and Emerging Technologies in Bioengineering (M2TB), University of Seville, Escuela Superior de Ingenieros, C. de los Descubrimientos s/n, Sevilla 41092, Spain)

Abstract

Boosted by health consequences and the cost of falls in the elderly, this work develops and tests a novel algorithm and methodology to detect human impacts that will act as triggers of a two-layer fall monitor. The two main requirements demanded by socio-healthcare providers—unobtrusiveness and reliability—defined the objectives of the research. We have demonstrated that a very agile, adaptive, and energy-based anisotropic algorithm can provide 100% sensitivity and 78% specificity, in the task of detecting impacts under demanding laboratory conditions. The algorithm works together with an unsupervised real-time learning technique that addresses the adaptive capability, and this is also presented. The work demonstrates the robustness and reliability of our new algorithm, which will be the basis of a smart falling monitor. This is shown in this work to underline the relevance of the results.

Suggested Citation

  • Manuel Prado-Velasco & Rafael Ortiz Marín & Gloria Del Rio Cidoncha, 2013. "Detection of Human Impacts by an Adaptive Energy-Based Anisotropic Algorithm," IJERPH, MDPI, vol. 10(10), pages 1-23, October.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:10:p:4767-4789:d:29359
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    References listed on IDEAS

    as
    1. Jeffrey A. Kaye & Shoshana A. Maxwell & Nora Mattek & Tamara L. Hayes & Hiroko Dodge & Misha Pavel & Holly B. Jimison & Katherine Wild & Linda Boise & Tracy A. Zitzelberger, 2011. "Intelligent Systems for Assessing Aging Changes: Home-Based, Unobtrusive, and Continuous Assessment of Aging," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(suppl_1), pages 180-190.
    2. Kannus, P. & Parkkari, J. & Niemi, S. & Palvanen, M., 2005. "Fall-induced deaths among elderly people," American Journal of Public Health, American Public Health Association, vol. 95(3), pages 422-424.
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