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Title: Reconeixement d'accions mitjançant visió artificial per teleassistència
Author: Sánchez Pérez, Samuel
Director: Kanaan Izquierdo, Samir
Tutor: Ventura Royo, Carles  
Others: Universitat Oberta de Catalunya
Keywords: telecare
artificial vision
automatic learning
Issue Date: 1-Jun-2016
Publisher: Universitat Oberta de Catalunya
Abstract: The continued aging of the population has made in recent years gives rise to special interest research and development of systems that help increase the quality of life of older persons without involving an unsustainable spending by the social security system. In this context, telecare has experienced some improvements incorporating sensors that detect potential health problems or accidents, thus extending the stay in the home and avoiding or delaying an entry into a residence. This work explores the possibility of using artificial vision to monitor actions of everyday life through the imaging method of the history of the movement (MHI) and the classification of these images using neural networks and support vector machine. The results obtained are insufficient to move the real system built on a solution, but show the possibilities that this method can bring. A possible improvement of the results could be given by expanding the data set labeled or improving image processing. Another possibility for improvement could come by the combination of the method with other artificial vision and the detection and tracking of body parts.
Language: Catalan
Appears in Collections:Bachelor thesis, research projects, etc.

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