Smart devices, such as smartphones, smartwatches, etc., are examples of promising platforms for automatic recognition human activities. However, it is difficult to accurately monitor complex activities on these due interclass pattern similarities, which occur when different exhibit similar signal patterns or characteristics. Current smartphone-based systems depend traditional sensors, accelerom...

Context awareness refers to systems that can both sense and react based on their environment. The complexity of these systems makes necessary to apply software engineering techniques in their development, such as Model-Driven Software development (MDD). One of the main difficulties that developers of contextaware systems must tackle is how to manage the needed context information. In this paper...

Existing context-aware adaptation techniques are limited in their support for user personalization. There is relatively less developed research involving adaptive user modeling for user applications in the emerging areas of mobile and pervasive computing. This paper describes the creation of a User Profile Ontology for context-aware application personalization within mobile environments. We ana...

Context-aware recommender systems (CARS) take context into consideration when modeling user preferences. There are two general ways to integrate context with recommendation: contextual filtering and contextual modeling. Currently, the most effective context-aware recommendation algorithms are based on a contextual modeling approach that estimate deviations in ratings across different contexts. ...

Developing reliable context-aware applications remains a big challenge, even after a decade of research in this area. Usually a lot of code is required to handle an application’s correct behavior in a variety of different situations. Along with a growing amount of code, also increases the risk of programming errors that may lead to an undesired behavior in particular situations. In this paper w...

This paper presents a proposal that aims to process dynamic Context modeling for mobile objects in the Generalized Adaptive Context-Aware Middleware (GaCAM). Context changes closely related to difference sensors in mobile environment, so the common data modeling in which data structures were fixed after models designed is inadaptable. The principal task is: dynamic Context modeling when the mob...

This paper describes a platform for the user-centred design and evaluation of adaptive, context-aware services in the wireless, mobile and pervasive computing markets. It focuses on evaluating the user interactions with context-aware adaptive systems while synchronising the control of the environmental context that drives adaptivity and the user’s perception of that environment. The platform us...

This paper presents and discusses the use of an agent-oriented context-aware platform to support the interactions of the participating actors of communities of practice in the health care domain. Our work is based on a scenario where communities of practice are applied in a hospital to enhance the knowledge sharing among the hospital staff members who share interests and goals. An agent-oriente...