Generalized approach to prolonging of autonomous living of elderly with semantic ambient media
AbstractThis paper is presenting generalized approach to detection of health problems and falls of the elderly for the purpose of prolonging autonomous living of elderly using semantic ambient media. The movement of the user is captured with the motion capture system, which consists of the tags attached to the body, whose coordinates are acquired by the sensors situated in the apartment. Output time-series of coordinates are modeled with the proposed data mining approach in order to recognize the specific health problem or fall. The approach is general in a sense that it uses k-nearest neighbor algorithm and dynamic time warping with time-series of all measurable joint angles for the attributes instead of the more specific approach with medically defined attributes. It is two-step approach; in the first step it classifies person's activities into five activities including different types of falls. In the second step it classifies walking patterns into five different health states; one healthy and four unhealthy. Even though the new approach is more general and can be used to differentiate also from other types of activities or health problems, it achieves very high classification accuracies, similar to the more specific approach.
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How to Cite
POGORELC, Bogdan; GAMS, MatjaÅ¾. Generalized approach to prolonging of autonomous living of elderly with semantic ambient media. International SERIES on Information Systems and Management in Creative eMedia (CreMedia), [S.l.], n. 2010/1, p. 31-34, aug. 2013. ISSN 2341-5576. Available at: <https://www.ambientmediaassociation.org/Journal/index.php/series/article/view/178>. Date accessed: 27 feb. 2024.
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