A context-aware multimedia service scheduling framework in smart homes

Abstract

Many pervasive services are embedded in smart homes. It is a great challenge to schedule these services due to the heterogeneity and the mobility of devices. In this article, we elaborate a context-aware service scheduling framework (CASSF), which discovers available services hosted on those heterogeneous and mobile devices, selects suitable services that meet task requirements (TR) and ultimately enhances user experience with content adaptation. Contributions of this article are in three folds. First, the device ontology is designed to describe device features including built-in services, which benefits the knowledge sharing and facilitates the service discovery; second, a context-aware service selection mechanism is proposed, in which available services and contexts including user situations, TR, device capabilities, etc. are taken into consideration. Furthermore, due to the heterogeneity and the diversity of devices, the content adaptation is introduced in the framework to improve user satisfaction. Based on the CASSF, a multimedia prompting system is implemented to assist the elderly with intelligent services, and the evaluation of the proposed framework is performed in term of the execution time. The experimental results showed the framework is feasible and effective.

An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media

“…For example, the node marked with Q 22 shared posts from BecomeAnEX to encourage people to quit smoking with the assistance of Quit Tea, which is a blend of herbs and spices that helps replace the habit of smoking with drinking herbal tea. 6 The sparse connection between protobacco fan pages may result from the competition in the tobacco industry and the common benefits of fan pages. In the set of keywords, many tobacco brands, such as "Camel," "Lucky Strike," and "Pall Mall" are introduced.…”

“…Chen et al [5] elaborated a knowledge-driven system to detect fine-grained daily activities with radio-frequency identification tags. For elder adults, a smart home prototype was implemented to overcome the barriers due to cognitive decline, particularly memory, hearing, and visual impairment [6], [7]. For urban planning, a number of studies have extracted citywide human mobility patterns using the large-scale data from smart vehicles and mobile phones.…”

An Ontology for Interoperability: Modeling of Composite Services in the Smart Home Environment

“…Mobility and heterogeneity are characteristics of many devices in the SH. In order to manage these devices efficiently, the system CASSF (Context-Aware Service Scheduling Framework) [5] filters out and offers suitable services. This is done according to the task requirements (TR) and serves an improved user experience and content adaptation.…”

Big Data, Smart Homes and Ambient Assisted Living

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