An Unobtrusive Semantic Health-Monitoring Medium
AbstractWe present a generalized data mining approach to the detection of health problems and falls in the elderly for the purpose of prolonging their autonomous living. The input for the data mining algorithm is the output of the motion-capture system. The approach is general since it uses a k-nearestneighbor algorithm and dynamic time warping with the time series of all the measurable joint angles for the attributes instead of a more specific approach with medically defined attributes. Even though the presented approach is more general and can be used to differentiate other types of activities or health problems, it achieves very high classification accuracies, similar to the more specific approaches described in the literature.
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How to Cite
POGORELC, Bogdan; GAMS, MatjaÅ¾. An Unobtrusive Semantic Health-Monitoring Medium. International SERIES on Information Systems and Management in Creative eMedia (CreMedia), [S.l.], n. 2012/1, p. 29-38, aug. 2013. ISSN 2341-5576. Available at: <http://www.ambientmediaassociation.org/Journal/index.php/series/article/view/190>. Date accessed: 23 jan. 2020.
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