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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/5399

Title: Advanced techniques for human activity classification
Author(s): Ruiz González, Miriam
Advisor: Álvarez Álvarez, Juan Carlos
López Rodríguez, Antonio Miguel
Keywords: Imu
Issue date: Jul-2012
Series/Report no.: Máster Universitario en Soft Computing y Análisis Inteligente de Datos
Abstract: The purpose of this work is to find out whether a system based on a conventional Hidden Markov Model (HMM) is able to detect the action that the person is carrying out, and be able to differentiate it from other similar actions. Thus, at some point in the future, a system can be developed that checks the data read from the sensors, compares it with some different models that represent a bunch of different actions, and find out if any of them correspond to what the person is actually doing.
URI: http://hdl.handle.net/10651/5399
Appears in Collections:Trabajos Fin de Máster

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