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Int. J. Environ. Res. Public Health 2013, 10(10), 4767-4789; doi:10.3390/ijerph10104767
Article

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

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Received: 10 July 2013; in revised form: 22 September 2013 / Accepted: 22 September 2013 / Published: 10 October 2013
(This article belongs to the Special Issue Advances in Telehealthcare)
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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.
Keywords: adaptive algorithm; energy-based impact detection; unsupervised learning technique; telehealth services; distributed signal processing; smart sensor adaptive algorithm; energy-based impact detection; unsupervised learning technique; telehealth services; distributed signal processing; smart sensor
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Prado-Velasco, M.; Marín, R.O.; del Rio Cidoncha, G. Detection of Human Impacts by an Adaptive Energy-Based Anisotropic Algorithm. Int. J. Environ. Res. Public Health 2013, 10, 4767-4789.

AMA Style

Prado-Velasco M, Marín RO, del Rio Cidoncha G. Detection of Human Impacts by an Adaptive Energy-Based Anisotropic Algorithm. International Journal of Environmental Research and Public Health. 2013; 10(10):4767-4789.

Chicago/Turabian Style

Prado-Velasco, Manuel; Marín, Rafael O.; del Rio Cidoncha, Gloria. 2013. "Detection of Human Impacts by an Adaptive Energy-Based Anisotropic Algorithm." Int. J. Environ. Res. Public Health 10, no. 10: 4767-4789.



Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert