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Topic Id:

ID topic:	234
Partner Email:	Nicole.Levy@prism.uvsq.fr
Project Title:	Home Assistant application
Abstract:	The aim of this project is to develop a Home Assistant application to help old people or people with disabilities. One of the solutions can be to recognize users activities, infer a situation and execute the most relevant action. For example, abnormal situation is detected if people don t move and is not eating (has not used oven), people shouts because he needs help, people does not answer any of the system questions, and so on. Normal situations are stored when the user usually repeats the same actions. The Home Assistant application will be composed of a ubiquitous network with awareness able to interact with a user. This network is connected to all sensors and actuators presented in the environment; it can discover and manage them. In addition, modality specific XML languages can be studied such as VoiceXML for voice recognition, MPEG-7 for Video annotation, and so on. Primary events and composed events (scenarios) will be stored in a semantic ontology using specific rules. All combinations of primary events will be defined as models to help the composition. The result of the process will be a situational/contextual meaning. Knowledge representation and pattern matching is helpful to perform this project.
Advisor:	Nicole Levy
Link:
Degree:	Master
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