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Personalized healthcare through intelligent gadgets
Hyeju Jang1, Sanghyun Kim, Changseok Bae
1Electronics and Telecommunications Research Institute, Gajeong Dong, Yuseong Gu, Daejeon, Korea. hyejujang@gmail.com
Summary
Intelligent gadgets offer personalized healthcare services by collecting personal and physiological data. A new markup language (IGML) simplifies creating these adaptable, component-based wearable or implantable systems.
Area of Science:
- Ubiquitous Computing
- Wearable Technology
- Personalized Healthcare
Background:
- Intelligent gadgets are reconfigurable, scalable, component-based platforms worn, carried, or implanted.
- These devices collect diverse personal information for personalized services in ubiquitous computing environments.
- Existing systems lack a streamlined approach for developing context-aware personalized services.
Purpose of the Study:
- To demonstrate a personalized healthcare service utilizing intelligent gadgets.
- To introduce an intuitive method for building intelligent gadget-based services.
- To highlight the adaptability of intelligent gadgets for various healthcare applications.
Main Methods:
- Development of a context representation language, Intelligent Gadget Markup Language (IGML).
- Utilizing an event-condition-action (ECA) rule-based system within IGML.
- Designing IGML for extensibility to include environmental and physiological data.
Main Results:
- IGML enables intuitive and easy creation of intelligent gadget-based services.
- The system effectively handles both environmental and physiological information as context.
- Intelligent gadgets demonstrate significant adaptability for diverse personalized healthcare needs.
Conclusions:
- Intelligent gadgets can power personalized healthcare services.
- IGML provides a flexible and extensible framework for developing such services.
- The component-based nature of intelligent gadgets facilitates widespread adoption in healthcare.
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