Contrôle intelligent de la domotique à partir d'informations temporelles multisources imprécises et incertaines

Abstract : A smart home is a residence featuring ambient intelligence technologies in order to help its dwellers in different situations of common life by trying to manage their comfort and security through the execution of actions over the effectors of the house. Detection of abnormal situations is paramount in the development of surveillance systems. These situations can be detected by the analysis of the traces resulting from audio processing and the data provided by the network of sensors installed in the smart home. For instance, detection of cries along with thuds (fall of a heavy object) in a short time interval can help to infer that the resident fell. The goal of the research presented in this thesis is the implementation of an intelligence controller connected with the devices in the house and able to react to user's commands (through vocal interfaces) and recognize dangerous situations. In order to fulfill this goal, it is necessary to create formal representation and to develop reasoning mechanism over infor- mation that is often temporal and having different levels of abstraction. The main challenge is the processing of the uncertainty, the imprecision, and the incompleteness that characterise this domain of application. Moreover, the decisions taken by the intelligent controller must consider the context in which a user command is given, so this work is made in the area of Context Aware Computing. Context includes high level information such as the location of the dweller, the activity she is making, and the time of the day. The research works presented in this thesis can be divided mainly in three parts : the implementation of inference methods to obtain context information (namely, location and activity) from uncertain information, knowledge representation about the environment and dangerous situations, and finally the development of decision making models that use the inferred context information. The last part of this thesis shows the results from the validation of the proposed methods through experiments performed in an experimental platform, the Domus apartment.
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Pedro Chahuara. Contrôle intelligent de la domotique à partir d'informations temporelles multisources imprécises et incertaines. Intelligence artificielle [cs.AI]. Université de Grenoble, 2013. Français. ⟨tel-00956372⟩

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