A Situation Awareness Approach for Smart Home Management

Nowadays, the digitization of reality is increasingly prominent due to the Internet of Things paradigm. Even the environments we live in, such as homes, can be equipped with smart devices that make their management more effective. This paper presents a case study related to the Smart Home field, which exploits graph approaches to provide suggestions to users in home management. The proposed approach allows extracting and elaborating data from the context and using probabilistic approaches to provide helpful information and autonomous actions. The learning phase is related to graph approaches able to represent and able to increase the comprehension of the environment. The experimental phase is conducted through a prototype to test the ability of the proposed approach in saving energy and ventilation management. The experiments consist of the accuracy measure and a questionnaire, and the obtained results are promising.