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Published byDiane Bradford Modified over 9 years ago
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A Portal for Interacting with Context-aware Ubiquitous Systems Don Cruickshank David De Roure Grid Based Medical Devices for Everyday Health Equator / MIAS
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7th September 2004Equator MIAS2 Users Interactive access to live and stored information (e.g. visualised, excel) collected from Wearable devices Sensor networks e.g. medics and patients e.g. pervasive support desk e.g. pollution-sensing cyclists (uploading)
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7th September 2004Equator MIAS3 Medical jacket sensors ECG trace Heart rate monitor Blood Glucose monitor Accelerometers GPS location
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7th September 2004Equator MIAS4 Scenario Natural language interaction – clinician over a phone “look at Tom” “Tom’s patient ID is 12345. He is wearing a jacket. His data is archived.” “Look at jacket on Tom” “His blood pressure and heart rate are monitored.” “Look inside archive” …
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7th September 2004Equator MIAS5 Personal device interface
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7th September 2004Equator MIAS6 Requirements Natural language interface Configurable ‘experience’ for different users Patient, clinician, support, administrator Carrying spatial information 2D/3D spatial, i.e. Cartesian coordinates Logical, i.e. symbolic Remote access, multiuser, distributed Support for collaboration (or integration with collaborative tools)
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7th September 2004Equator MIAS7 MUD benefits Open source Scriptable using a general purpose programming language (LPC) Rich support for network protocols, e.g. FTP, HTTP, POP3 Standard clients available Modern clients have graphics and sound capability Trend towards HTML and CSS Supports a variety of Intermud protocols
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7th September 2004Equator MIAS8 Enhancements Location description All objects carry coords and may have relational positioning Currently using z-axis aligned polygons to represent area Span array algorithm used for large geographic areas Authentication, authorisation Access control and domain model exist PKI can be integrated WS-Security?
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7th September 2004Equator MIAS9 Location in a Pervasive Environment To allow data to be combined, a common model is required Have defined an ontology to model locations within a building Not designed from spatial perspective, type and purpose more important Hierarchical notion of locations and inter-linked sub-spaces
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7th September 2004Equator MIAS10 A MUD map of the labs
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7th September 2004Equator MIAS11 Uncertainty in location We have to take location information from a variety of sources GPS Bluetooth proximity Ultrasonic pingers Which one do we trust when we have conflicting information? We can choose one we think is better We can merge the contexts – e.g. create a specialised location that has the features of all relevant locations We can duplicate the users and populate the separate areas with those people When a location technology is known to be false, that context is removed (or the false user model is destructed) Some operations may be high risk enough to utilise a certainty factor from the location information system
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7th September 2004Equator MIAS12 MUD technologies LPC based MUDs (aka LPMuds) allow for real time reconfiguration of live systems Location is a strong contextual feature of MUDs Jim is located at 1500m west and 30m south of a named reference point “Harry is sitting at the table.” Roles feature strongly in staffing a MUD Authorisation is dependent on domain memberships Individual privileges Staff members are often only known within the MUD domain Object trails are commonly used for administrative purposes Record of previous locations / owners Recording the manner in which objects have moved Objects can be tagged with special information that only staff can see Units that are known to be buggy can be labelled by support staff and that information is carried wherever that object goes Objects can react to events in the environment E.g. when the child walks near the tree, a sound is played out of a loudspeaker nearby
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7th September 2004Equator MIAS13 Conclusion Able to tailor the information flow to personal devices dependent on context Real-time maintenance of the system possible by medics and administrators, each with specific access rights Uncertainty in location information is not straightforward
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