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This paper provides the research background and system approach for project BlueStar. Our aim is to develop a system using a flexible in/outdoor location management scheme that allows for only the end-user to be aware of their location, while still enabling them to access location-relevant information from a centralised source. In such a system the user can(More)
The screen size of a smartwatch provides limited space to enable expressive multi-touch input, resulting in a markedly difficult and limited experience. We present <i>WatchMI: Watch Movement Input</i> that enhances touch interaction on a smartwatch to support continuous pressure touch, twist, pan gestures and their combinations. Our novel approach relies on(More)
The second osmotic virial coefficients (b2) of four proteins - lysozyme, recombinant human lactoferrin, concanavalin A and catalase were measured by self-interaction chromatography (SIC) in solutions of varying salt type, concentration and pH. Protein aggregate sizes based on the initial hydrodynamic radius of the protein solution species present were(More)
Measurement of B22, the second virial coefficient, is an important technique for describing the solution behaviour of proteins, especially as it relates to precipitation, aggregation and crystallisation phenomena. This paper describes the best practise for calculating B22 values from self-interaction chromatograms (SIC) for aqueous protein solutions.(More)
Multimodal context-aware computing offers system support that incorporates the environmental, cognitive and computational state of an individual while allowing them to compose inputs and receive outputs across a range of available modalities. Here we present two support planes from our ubiquitous system architecture, entitled Nightingale. These include a(More)
This paper presents a case study of real world experiences with RFID in the delivery of visual awareness of the location of users in geographical disperse eMeetings (VALUE). We propose an approach that combines context data collected from physical motion and RFID sensors (the sensed environment), eMeeting software instrumentation, user preferences and(More)
Pervasive computing systems typically rely on a range of context data, from user preference and interaction through to the sensed environment. In Proximo we propose an approach to combine a collaborative recommendation system, with location-aware technology to provide personalised, dynamic and domain-driven paths through work and social spaces. For our(More)
New employees in an organisation typically undergo a period of relatively intense training when they commence their employment. Often the quantity of information imparted is too large for the newcomers to assimilate during the short training period. Moreover, much of the information may not be relevant until months or even years after the initial training(More)