6533b851fe1ef96bd12a97bb
RESEARCH PRODUCT
A Context-Aware System for Ambient Assisted Living
Giuseppe Lo ReMarco MoranaSalvatore GaglioPierluca FerraroDaniele PeriMarco OrtolaniAlessandra De Paolasubject
QA75Computer sciencemedia_common.quotation_subjectPopulationAmbient Assisted LivingContext (language use)02 engineering and technologyTheoretical Computer ScienceDynamic Bayesian NetworkKnowledge extractionQuality of lifeRule-based reasoningHuman–computer interactionHome automation0202 electrical engineering electronic engineering information engineeringContext awarenesseducationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionieducation.field_of_studyMulti-sensor data fusionbusiness.industryComputer Science (all)Context awarene020206 networking & telecommunicationsRule-based system020201 artificial intelligence & image processingbusinessWireless sensor networkAutonomydescription
In the near future, the world's population will be characterized by an increasing average age, and consequently, the number of people requiring for a special household assistance will dramatically rise. In this scenario, smart homes will significantly help users to increase their quality of life, while maintaining a great level of autonomy. This paper presents a system for Ambient Assisted Living (AAL) capable of understanding context and user's behavior by exploiting data gathered by a pervasive sensor network. The knowledge inferred by adopting a Bayesian knowledge extraction approach is exploited to disambiguate the collected observations, making the AAL system able to detect and predict anomalies in user's behavior or health condition, in order to send appropriate alerts to family members and caregivers. Experimental results performed on a simulated smart home prove the effectiveness of the proposed system.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-10-07 |