Delivering Live Multimedia Streams to Mobile Hosts in a Wireless Internet with Multiple Content Aggregators

We consider the distribution of channels of live multimedia content (e.g., radio or TV broadcasts) via multiple content aggregators. In our work, an aggregator receives channels from content sources and redistributes them to a potentially large number of mobile hosts. Each aggregator can offer a channel in various configurations to cater for different wireless links, mobile hosts, and user preferences. As a result, a mobile host can generally choose from different configurations of the same channel offered by multiple alternative aggregators, which may be available through different interfaces (e.g., in a hotspot). A mobile host may need to handoff to another aggregator once it receives a channel. To prevent service disruption, a mobile host may for instance need to handoff to another aggregator when it leaves the subnets that make up its current aggregator�s service area (e.g., a hotspot or a cellular network).\ud In this paper, we present the design of a system that enables (multi-homed) mobile hosts to seamlessly handoff from one aggregator to another so that they can continue to receive a channel wherever they go. We concentrate on handoffs between aggregators as a result of a mobile host crossing a subnet boundary. As part of the system, we discuss a lightweight application-level protocol that enables mobile hosts to select the aggregator that provides the �best� configuration of a channel. The protocol comes into play when a mobile host begins to receive a channel and when it crosses a subnet boundary while receiving the channel. We show how our protocol can be implemented using the standard IETF session control and description protocols SIP and SDP. The implementation combines SIP and SDP�s offer-answer model in a novel way

Mobile monitoring application to support sustainable behavioural change towards healthy lifestyle

We describe the development of body area networks (BANs) incorporating sensors and other devices to provide intelligent mobile services in healthcare and well-being. The first BAN applications were designed to simply transmit biosignals and display them remotely. Further developments include analysis and interpretation of biosignals in the light of context data. By including feedback loops, BAN telemonitoring was also augmented with teletreatment services. Recent developments include incorporation of clinical decision support by applying techniques from artificial intelligence. These developments represent a movement towards smart healthcare, making health BAN applications more intelligent by incorporating feedback, context awareness, personalization, and decision support.\ud The element of decision support was first introduced into the BAN health and well-being applications in the Food Valley Eating Advisor (FOVEA) project. Obesity and overweight represent a growing threat to health and well-being in modern society. Physical inactivity has been shown to contribute significantly to morbidity and mortality rates, and this is now a global trend bringing huge costs in terms of human suffering and reduction in life expectancy as well as uncontrolled growth in demand on healthcare services. Part of the solution is to foster healthier lifestyle. A major challenge however is that exercise and dietary programs may work for the individual in the short term, but adherence in the medium and long term is difficult to sustain, making weight management a continuing struggle for individuals and a growing problem for society, governments, and health services. Using ICT to support sustainable behavioral change in relation to healthy exercise and diet is the goal of the FOVEA monitoring and feedback application. We strive to design and develop intelligent BAN-based applications that support motivation and adherence in the long term. We present this healthy lifestyle application and report results of an evaluation conducted by surveying professionals in related disciplines

Modeling the vagus nerve system with the Unified Modeling Language

Traditionally, the means of describing anatomical and physiological structures of the autonomic nervous system is natural language, drawings and images as represented in the scientific literature. In behavioral studies of this system, mathematical and electrical models and computer simulation tools are in use. In this article, we propose the use of the Unified Modeling Language to describe and specify the anatomical and physiological structures and indicate how these can be enriched to capture the behavioral view as well. Using the metamodel facilities of the language, we propose a domain specific language that captures the domain concepts, their relationships and constraints. Application of the language is demonstrated by modeling the vagus nerve in part

A scenario guideline for designing new teletreatments: a multidisciplinary approach

Lack of user acceptance of telemedicine services is an important barrier to deployment and stresses the need for involving users, i.e. medical professionals. However, the involvement of users in the service development process of telemedicine services is difficult because of (a) the knowledge gap between the expertise of medical and technical experts; (b) the language gap, i.e. the use of different terminologies between the medical and the technical professions; and (c) the methodological gap in applying requirement methods to multidisciplinary scientific matters. We have developed a guideline in which the medical and technical domains meet. The guideline can be used to develop a scenario from which requirements can be elicited. In a retrospective analysis of a myofeedback-based teletreatment service, the technically-oriented People-Activities-Context-Technology (PACT) framework and medically-oriented principles of evidence-based medicine were incorporated into a guideline. The guideline was developed to construct the content of a scenario which describes the new teletreatment service. This allows the different stakeholders to come together and develop the service. Our approach provides an arena for different stakeholders to take part in the early stages of the design process. This should increase the chance of user acceptance and thus adoption of the service being developed