A non-intrusive context-aware system for ambient assisted living in smart home

Abstract

Automation of smart home for ambient assisted living is currently based on a widespread use of sensors. As efficient as it seems to be, this solution can sometimes be problematic when one focus on user acceptability intimately related to cost and intrusivity. In this paper, we propose a context-aware system based on the semantic analysis of each user request at runtime. Our goal is to infer user data usually sensored by using advanced semantic web tools to adapt home automation services to people with special needs. To take up this challenge, an ontology, automatically derived from a model-driven process, firstly defines usersystem interactions. Then, the use of rules allows an inference engine to deduce user location and intention leading to adapted service delivery.

Context-Aware Systems Architecture (CaSA)

“…There has been also a modelling of the contextual processes through Petri Nets, see Neumann et al (2011). A number of application dependent architectures have been also published whilst describing specific system implementations Allegre et al (2013); Furno and Zimeo (2013); Papadopoulou et al (2013); Peko et al (2014); Souabni et al (2014). There has been also some interesting work on socalled 'contextual graphs', Tahir and Brézillon (2013), and on hierarchy of ontologies, Kolbe et al (2017), to structure context knowledge and its processing.…”

A Machine-learning-enabled Context-driven Control Mechanism for Software-defined Smart Home Networks

“…The comparison of the η unfitness [defined as Eq. (11)] of SHCM with schemes 1 (11) (i.e., baseline), 2 , (37) 3, (38) 4, (18) and 5 (i.e., SHCM without fog computing) is shown in Fig. 10.…”

“…The context-aware mechanism that infers user preferences and achieves user behavior pattern recognition has been studied in many different fields. Allègre et al (11) proposed a context-aware system to provide adaptive services based on the semantic analysis by defining user-system interactions to home automation. Li and Liu (12) proposed a certain information management system for constructing context integration rules to achieve activity pattern recognition.…”

Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping study

“…Allègre et al (2013) believed that user data in home automation is still under-exploited and aimed at replacing as many sensors as possible by using advanced tools to infer information usually censored. Ontologies represent structural frameworks for organizing information, and they receive much attention nowadays (see Figure 9) since they can provide better use of available signals by using context aware systems (Allègre et al 2013): ontologies that are automatically derived define user-system interactions, and then the use of rules allows to deduce user location and intention with the goal of providing an adapted service delivery (Allègre et al 2013). Ontologies are also increasingly exploited since they allow better interoperability and facilitate systems integration.…”