Welcome to the University of Bedfordshire Repository - an open access repository giving you access to the continuing research activity undertaken at the university.
Searching the repository is easy - you can use the search box or the browse options on the left.
Submissions to the Repository (other than theses) are currently managed via our Research Management System. Do not try to upload your publication here. If you have any queries about this please email us at firstname.lastname@example.org.
If you’d like further information or have a query about the repository then please contact us.
Web-based visual analytics of lifestyle data in MyHealthAvatarMyHealthAvatar is a project designed to collect lifestyle and health data to promote citizen's wellbeing. As a lifetime companion of citizens the amount of data to be collected is large. It is almost impossible for citizens, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. Visual analytics of lifestyle data is one of the key features of MyHealthAvatar. This paper presents the visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clock view and map. These components can be used cooperatively to achieve flexible visual analysis of spatial temporal lifestyle and health data.
MyHealthAvatar: a case study of web-based interactive visual analytics of lifestyle dataMyHealthAvatar is a project designed to collect and track lifestyle and health data to promote citizen wellbeing. As a lifetime companion of citizens, the amount of data collected will be huge. It is almost impossible for citizen, patients and doctors to view, utilise and understand these data without proper visual presentation and user interaction. Interactive visual analytics of lifestyle data is one of the key features of MyHealthAvatar. This paper presents the interactive visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3d avatar, dashboard, diary, timeline, clock view and map. These components can be integrated to achieve flexible visual analysis of spatio-temporal lifestyle data.
Visual analytics for health monitoring and risk management in CARREWith the rise of wearable sensor technologies, an increasing number of wearable health and medical sensors are available on the market, which enables not only people but also doctors to utilise them to monitor people’s health in such a consistent way that the sensors may become people’s lifetime companion. The consistent measurements from a variety of wearable sensors implies that a huge amount of data needs to be processed, which cannot be achieved by traditional processing methods. Visual analytics is designed to promote knowledge discovery and utilisation of big data via mature visual paradigms with well-designed user interactions and has become indispensable in big data analysis. In this paper we introduce the role of visual analytics for health monitoring and risk management in the European Commission funded project CARRE which aims to provide innovative means for the management of cardiorenal diseases with the assistance of wearable sensors. The visual analytics components of timeline and parallel coordinates for health monitoring and of node-link diagrams, chord diagrams and sankey diagrams for risk analysis are presented to achieve ubiquitous and lifelong health and risk monitoring to promote people’s health.
MyHealthAvatar: a lifetime visual analytics companion for citizen well-beingMyHealthAvatar is a European Commission funded project aimed to design a lifetime companion for citizens to collect, track and store lifestyle and health data to promote citizen well-being. MyHealthAvatar collects and aggregates life-logging data from wearable devices and mobile apps by integrating a variety of life-logging resources, such as Fitbit, Moves, Withings, etc. As a lifelong companion, the data collected will be too large for citizens, patients and doctors to understand and utilise without proper visual presentation and user interaction. This paper presents the key interactive visual analytics components in MyHealthAvatar to facilitate health and lifestyle data presentation and analysis, including 3D avatar, dashboard, diary, timeline, clockview and map to achieve flexible spatio-temporal lifestyle visual analysis to promote citizen well-being.
Data mining, management and visualization in large scientific corpusesOrganizing scientific papers helps efficiently derive meaningful insights of the published scientific resources, enables researchers grasp rapid technological change and hence assists new scientific discovery. In this paper, we experiment text mining and data management of scientific publications for collecting and presenting useful information to support research. For efficient data management and fast information retrieval, four data storages are employed: a semantic repository, an index and search repository, a document repository and a graph repository, taking full advantage of their features and strength. The results show that the combination of these four repositories can effectively store and index the publication data with reliability and efficiency and hence supply meaningful information to support scientific research.