Pervasive technologies for assistive environments: special issue of PETRA 2008 conference

As the diffusion of computing technology into everyday life continues at an exponential rate, the technology is becoming increasingly embedded in artefacts and environments. One important environment for this diffusion is the domestic environment or ‘‘Oikos’’ as it was known in ancient Greece. People’s living environment is particularly important when one takes into account the world’s ageing population and that as people grow older, they will increasingly rely on technology. People will, however, have differing levels of computer knowledge and assisted living needs. In addition, awareness towards the elderly and the need of constant medical supervision for chronic patients or habitants of remote, isolated and underserved locations has risen recently. To this end, services once available at a few centralized locations, such as high quality medical services, are now intended to be made available through a network anytime, anyplace and to anyone [1]. In such an environment, provision of medical data communication is currently dependent on lowbandwidth point-to-point telemedicine systems [2–6]. An easily field-deployable ad hoc wireless network or even a basic sensor network [7] could provide a significant improvement in real-time patient monitoring and emergency communications capability in general. This special issue comes after the successful organization of the 1st ACM International Conference on ‘‘PErvasive Technologies Related to Assistive Environments—PETRA 2008’’, which was held from 15th till 19th of July 2008, in Athens, Greece (http://www.petrae.org/). In this special issue, we have tried to include extended in-depth analysis of the best works announced in the PETRA 2008 conference, dealing with the application of pervasive ubiquitous computing to assistive environments, taking also into account the target audience of the PUC journal. As already mentioned, the word ‘‘assistive’’ is used in a general way that includes not only assisting persons with obvious physical limitations and disabilities, but also empowering any human to improve his/her quality of life by enhancing sensing at all levels [8, 9]. The research works included in this special issue show how pervasive and ubiquitous technologies can put computers to the service of man and become assistive. As a result, the special issue is comprised by papers describing systems, algorithms and methodologies from 3 major thematic areas: (1) activity and behaviour recognition [10–12], (2) advanced and personalized human computer interfaces [13, 14] and (3) biomedical monitoring platforms [15, 16, 18]. More specifically, Bamis et al. [10] in their paper present a scalable framework for detailed behaviour interpretation of elders. The paper reports their early deployment experiences and presents the current progress in three main components: sensors, middleware and behaviour interpretation mechanisms that aim to make effective monitoring and assistive services a reality. I. Maglogiannis (&) Department of Computer Science and Biomedical Informatics, University of Central Greece, Papasiopoulou 2-4, 35100 Lamia, Greece e-mail: imaglo@ucg.gr

[1]  Bart Jansen,et al.  Context aware inactivity recognition for visual fall detection , 2006, 2006 Pervasive Health Conference and Workshops.

[2]  I Maglogiannis,et al.  EmerLoc: Location-based services for emergency medical incidents , 2007, Int. J. Medical Informatics.

[3]  Gwenn Englebienne,et al.  An activity monitoring system for elderly care using generative and discriminative models , 2010, Personal and Ubiquitous Computing.

[4]  Donald E. Brown,et al.  Health-status monitoring through analysis of behavioral patterns , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[5]  Ilias Maglogiannis,et al.  Patient Fall Detection using Support Vector Machines , 2007, AIAI.

[6]  Fillia Makedon,et al.  PrivaSense: providing privacy protection for sensor networks , 2007, SenSys '07.

[7]  Dimitrios D. Vergados,et al.  Service personalization for assistive living in a mobile ambient healthcare-networked environment , 2010, Personal and Ubiquitous Computing.

[8]  Jie Wang,et al.  Continuous camera-based monitoring for assistive environments , 2008, PETRA '08.

[9]  Andreas Savvides,et al.  The BehaviorScope framework for enabling ambient assisted living , 2010, Personal and Ubiquitous Computing.

[10]  Ilias Maglogiannis,et al.  Advanced Classification and Rules-Based Evaluation of Motion, Visual and Biosignal Data for Patient Fall Incident Detection , 2010, Int. J. Artif. Intell. Tools.

[11]  Grammati E. Pantziou,et al.  Providing advanced remote medical treatment services through pervasive environments , 2010, Personal and Ubiquitous Computing.

[12]  Flora Malamateniou,et al.  A system for the provision of medical diagnostic and treatment advice in home care environment , 2009, Personal and Ubiquitous Computing.

[13]  Vassilis Athitsos,et al.  A database-based framework for gesture recognition , 2010, Personal and Ubiquitous Computing.

[14]  Georgios Kambourakis,et al.  Design and implementation of a VoiceXML-driven wiki application for assistive environments on the web , 2009, Personal and Ubiquitous Computing.

[15]  Jaeil Park,et al.  Design and implementation of the Smart Healthcare Frame Based on Pervasive Computing Technology , 2007, The 9th International Conference on Advanced Communication Technology.

[16]  R. Zane,et al.  Low-Power Wireless Medical Sensor Platform , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[17]  Bo Yan,et al.  Design and implementation of a sensor-based wireless camera system for continuous monitoring in assistive environments , 2010, Personal and Ubiquitous Computing.

[18]  Gerhard Tröster,et al.  Unobtrusive physiological monitoring in an airplane seat , 2009, Personal and Ubiquitous Computing.

[19]  Luis M. Camarinha-Matos,et al.  Intelligent mobile agents in elderly care , 1999, Robotics Auton. Syst..

[20]  Moushumi Sharmin,et al.  Healthcare aide: towards a virtual assistant for doctors using pervasive middleware , 2006, Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06).