Call for Papers [PDF]
Pervasive healthcare systems are more and more characterized by the heterogeneity of devices and users. Such systems exploit various technologies such as ever-smaller mobile devices, location and tracking tools, as well as wearable, portable, and implantable medical sensors. Designing systems for effectively taking advantage of the potential of such a variety of devices is a challenge to providing reliable solutions to real problems. Furthermore, pervasive systems are increasingly characterized by the heterogeneity of their users, too. In the healthcare domain, typical users may be either patients of every age or practitioners such as doctors, technicians and nurses. Accordingly, pervasive systems for healthcare are intended not anymore just for experienced and technology-prone users, but also for users with a different domain knowledge and so with different skills and desiderata. According to this vision, a key role of pervasive systems in the healthcare domain is to grant access to medical anywhere / anytime and in a reliable way, but also to simplify the way these data can accessed, explored and edited, so to increase their acceptance from both patients and practitioners.
The special session at KES-IIMSS 2010 aims to bring together top researchers both from academia and industry to stimulate research and create interdisciplinary collaboration links allowing the exploration of new frontiers in the area of Pervasive System. In details this session provides a forum for researchers and practitioners to present and discuss the interrelation of medical, environmental, technical and social factors and their consequences for the design, use and acceptance of pervasive healthcare systems. The session aims at giving participants a broad and deep understanding of the multitude of issues involved in the design, implementation and evaluation of pervasive systems and services.
Recommended topics include, but are not limited to, the following:
Pervasive healthcare systems and services
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User-centered design and HCI for Healthcare
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Image/Video Processing for Healthcare
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