Arcades: A deep model for adaptive decision making in voice controlled smart-home

Brenon, Alexis, Portet, François, Vacher, Michel

arXiv.org Machine Learning 

Smart-home is an application domain which brings together home automation and ambient intelligence to ease life of dwellers and to provide support to people in loss of autonomy. The development of smarthomes is not only a cultural and technological evolution but is also recognized as one way to address the challenges created by an aging population in developed countries [42]. If home automation is concerned with sensing (sensors, actuators, middle-ware) and low-level automation (heating control, lighting control), Ambient Intelligence should provide perception and reasoning capabilities into the smart-home ecosystem. However, although the development of smart-homes is supported by a large amount of research and industrial projects, it has not reached a large public since many challenges are still to be addressed. One of the main challenges is due to the complexity of setting up the smart-home system in case of new situations (devices, house, dwellers, after an accident, etc.).

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