6533b837fe1ef96bd12a1d79

RESEARCH PRODUCT

An AMI System for User Daily Routine Recognition and Prediction

Salvatore GaglioGloria Martorella

subject

Quality of lifeSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient intelligenceActivities of daily livingbusiness.industryComputer scienceSystem controlSmart environmentSensory informationData scienceTask (project management)Knowledge baseActivity recognitionQuality of lifeKnowledge baseHome automationHuman–computer interactionDaily activityAmbient intelligenceSmart environmentPredictive capabilitieHidden Markov modelbusiness

description

Ambient Intelligence (AmI) defines a scenario involving people living in a smart environment enriched by pervasive sensory devices with the goal of assisting them in a proactive way to satisfy their needs. In a home scenario, an AmI system controls the environment according to a user’s lifestyle and daily routine. To achieve this goal, one fundamental task is to recognize the user’s activities in order to generate his daily activities profile. In this chapter, we present a simple AMI system for a home scenario to recognize and predict users’ activities. With this predictive capability, it is possible to anticipate their actions and improve their quality of life. Our approach uses a Hidden Markov Model (HMM) to recognize activities and deal with the intrinsic uncertainty of sensory information. The concepts of this domain have been formally defined to allow a higher-level system to enrich its knowledge base.

yearjournalcountryeditionlanguage
2014-01-01
https://doi.org/10.1007/978-3-319-03992-3_3