A Hybrid Modular Context-Aware Services Adaptation For A Smart Living Room

Abstract

Smart spaces have attracted considerable amount of interest over the past few years. The introduction of sensor networks, powerful electronics and communication infrastructures have helped a lot in the realization of smart homes. The main objective of smart homes is the automation of tasks that might be complex or tedious for inhabitants by distracting them from concentrating on setting and configuring home appliances. Such automation could improve comfort, energy savings, security, and tremendous benefits for elderly persons living alone or persons with disabilities. Context awareness is a key enabling feature for development of smart homes. It allows the automation task to be done proactively according to the inhabitant's current context and in an unobtrusive and seamlessly manner. Although there are several works conducted for the development of smart homes with various technologies, in most cases, robust. However, the context-awareness aspect of services adaptation was not based on clear steps for context elements extraction (resp. clear definition of context). In this paper, we use the divide and conquer approach to master the complexity of automation task by proposing a hybrid modular system for context-aware services adaptation in a smart living room. We propose to use for the context-aware adaptation three techniques of machine learning, namely Naïve Bayes, fuzzy logic and case-based reasoning techniques according to their convenience.

Context-aware recommender system for multi-user smart home

“…The method proposed in [15] defines the context as sources to build a recommender model to offer recommendations in a smart kitchen. It uses recorded interaction data to predict and recommend services to the user.…”

“…In [4] Nawara and Kashef introduce a recommender system help user when requires recommendations of nearby places based on the ranking function. In [15] Miraoui introduce recommendations in a smart kitchen by construct contextual profiles provide useful recipe options for the user.…”

A Smart Room to Promote Autonomy of Disabled People due to Stroke

“…Reference [14] Proposed a classification of the main activities considered in smart home scenarios targeted to the elderly's independent living, as well as proposing a general set of guidelines that would help researchers and developers select the sensors and processing techniques best suited to the target activities to detect, focusing on older adults and indoor smart home activities. Reference [15] Proposed a home automation system using gesture modality. Users should wear a special glove in order to control appliances.…”

Ambient Intelligence in the Living Room

“…In such technologically advanced homes, individual users in their everyday lives interact frequently with various smart artefacts in conjunction. According to [21], the main objectives of smart homes are the automation of tasks that might be complex or tedious for inhabitants (e.g., control home appliances), improving comfort, saving energy, enhancing the feeling of security, and supporting independent living for elderly or people with disabilities.…”

“…Illumiroom [24] and RoomAlive [25] applied spatial augmented reality techniques by employing depth cameras and projectors in order to perform projection mapping in the room’s space and physical objects, thus enabling new interaction possibilities and turning the living room into an enhanced and immersive experience. Moreover, services and applications adapt in a context-sensitive manner [21], while interaction goes beyond traditional desktop-oriented interaction techniques (e.g., mouse, keyboard, and touch), endorsing natural modalities such as eye-tracking [26], freehand gestures [27], etc.…”