Ubiquitous Healthcare

2010 ◽  
pp. 254-280
Author(s):  
Theodor Panagiotakopoulos ◽  
Maria-Anna Fengou ◽  
Dimitrios Lymberopoulos ◽  
Eduard Babulak
Keyword(s):  
Ubiquitous Computing ◽  
Context Awareness ◽  
Daily Activity ◽  
Context Aware ◽  
Ubiquitous Healthcare ◽  
Computing Environments ◽  
Context Aware System ◽  
The Impact ◽  
Ubiquitous Computing Environments ◽  
Generic System

We have already moved away from traditional desktop-based computer technologies towards ubiquitous computing environments that progressively exist in our daily activity. This chapter introduces the concept of ubiquitous computing in the domain of healthcare as well as the prevalent technology its implementation depends on. This technology, named context-awareness, and a generic system for its realization are comprehensively described. Furthermore, the authors outline the main services that a context-aware system can provide and concluding they discuss the impact of ubiquitous computing in the healthcare domain. The authors aim at providing an overview of the technological proceedings in this area and through this understanding assist researchers to their brainstorming.

scholarly journals Context-Aware Active Services in Ubiquitous Computing Environments

ETRI Journal ◽  
2007 ◽  
Vol 29 (2) ◽  
pp. 169-178 ◽  
Author(s):  
Aekyung Moon ◽  
Hyoungsun Kim ◽  
Hyun Kim ◽  
Soowoo Lee
Keyword(s):  
Ubiquitous Computing ◽  
Context Aware ◽  
Active Services ◽  
Computing Environments ◽  
Ubiquitous Computing Environments

scholarly journals Context-Based Grouping and Recommendation in MANETs

2013 ◽  
pp. 157-178 ◽  
Author(s):  
Yves Vanrompay ◽  
Manuele Kirsch Pinheiro ◽  
Nesrine Ben Mustapha ◽  
Marie-Aude Aufaure
Keyword(s):  
Ubiquitous Computing ◽  
Context Information ◽  
Context Aware ◽  
Context Group ◽  
Multiple Context ◽  
Computing Environments ◽  
Ubiquitous Computing Environments ◽  
Shared Location

The authors propose in this chapter a context grouping mechanism for context distribution over MANETs. Context distribution is becoming a key aspect for successful context-aware applications in mobile and ubiquitous computing environments. Such applications need, for adaptation purposes, context information that is acquired by multiple context sensors distributed over the environment. Nevertheless, applications are not interested in all available context information. Context distribution mechanisms have to cope with the dynamicity that characterizes MANETs and also prevent context information from being delivered to nodes (and applications) that are not interested in it. The authors’ grouping mechanism organizes the distribution of context information in groups whose definition is context based: each context group is defined based on a criteria set (e.g. the shared location and interest) and has a dissemination set, which controls the information that can be shared in the group. They propose a personalized and dynamic way of defining and joining groups by providing a lattice-based classification and recommendation mechanism that analyzes the interrelations between groups and users, and recommend new groups to users, based on the interests and preferences of the user.

Algorithms to Resolve Conflict in Multiuser Context Aware Ubiquitous Environment

2012 ◽  
Vol 4 (3) ◽  
pp. 42-62
Author(s):  
Thyagaraju G.S. ◽  
U.P. Kulkarni
Keyword(s):  
Ubiquitous Computing ◽  
Rough Set Theory ◽  
Living Room ◽  
Context Aware ◽  
Coffee Shop ◽  
Context Aware Computing ◽  
Multiple Users ◽  
Ubiquitous Environment ◽  
Computing Environments ◽  
Ubiquitous Computing Environments

Conflict resolution in context-aware computing is getting more significant attention from researchers as pervasive/ubiquitous computing environments take into account multiple users and multiple applications. In multi-user ubiquitous computing environments, conflicts among user’s contexts need to be detected and resolved. Conflicts arise when multiple users try to access or try to have a control on an application. In this paper, the authors propose a series of algorithms to resolve conflict which can be embedded in different context aware applications like context aware devices (say TV, Mobile, AC, and Fan) and Context Aware Ambient (like Meeting Room, Living Room, Restaurant, Coffee Shop, etc.). The algorithms discussed in this paper make use of different tools like Probability, Fuzzy Logic, Bayesian Network and Rough set theory. In addition the algorithms utilize various factors like social, personal and environmental. The motto of this paper is to enable context aware applications to offer socialized and personalized services to multiple users by resolving service conflicts among users.

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