Context Representation of Intelligent Gadgets for Event-driven Services

Jang, Hyun Gyu; Jeong, Kugsang; Won, Jongho; Bae, Changseok

doi:10.1109/icce.2008.4587984

Cited by 1 publication

(2 citation statements)

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“…Canada Queens University's eyeBlog is the system which saves and shows user's video information automatically [7]. EyeBlog measures people's gaze information using a wearable wireless gaze sensor, ECSGlasses(Eye-Contect Sensing Glasses).…”

Section: Personalized Healthcare Through Intelligent Gadgetsmentioning

confidence: 99%

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Personalized healthcare through intelligent gadgets

Jang

Kim

Bae

2008

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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An intelligent gadget is a wearable platform which is reconfigurable, scalable, and component-based and which can be equipped, carried as a personal accessory, or in a certain case, implanted internally into a body. Various kinds of personal information can be gathered with intelligent gadgets, and that information is used to provide specially personalized services to people in the ubiquitous computing environment. In this paper, we show a personalized healthcare service through intelligent gadgets. A service based on intelligent gadgets can be built intuitively and easily with a context representation language, called the intelligent gadget markup language (IGML) based on the event-condition-action (ECA) rule. The inherent nature of extensibility, not only environmental information but also physiological information can be specified as a context in IGML and can be dealt with an intelligent gadget with ease. It enables intelligent gadgets to be adopted to many different kinds of personalized healthcare services.

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Section: Personalized Healthcare Through Intelligent Gadgetsmentioning

confidence: 99%

“…IGML is a markup language for representing events, conditions and linking with actions [7]. It consists of four parts: Rule, Event, Condition, and Action.…”

Section: How To Build a Service Componentmentioning

confidence: 99%