Type of Document Thesis Author Mitchell, Michael J Author's Email Address firstname.lastname@example.org URN etd-08042011-150513 Title Context and Bio-aware Mobile Applications Degree Master of Science Department Computer Science, Department of Advisory Committee
Advisor Name Title Andy Wang Committee Co-Chair Gary Tyson Committee Co-Chair Piyush Kumar Committee Member Keywords
- Ubiquitous computing
- Context-aware computing
- Mobile systems
Date of Defense 2011-06-30 Availability unrestricted AbstractThe rapidly expanding capabilities of modern smartphones now enable the creation of new classes of applications for health, wellness, and entertainment. Data collected from on-board sensors, web services, social media and external biosensors can be integrated to determine the context of the device, user, and environment. These combined contexts allow the device to achieve a new level of awareness of the user and surroundings, thereby enabling the creation of rich, biologically driven applications.
This thesis introduces ContextProvider, which stores collected and derived context and offers a unified, query-able interface for all contextual data on the device. Unlike other context-based frameworks, ContextProvider offers interactive user feedback, self-adaptive sensor polling, and minimal reliance on third-party infrastructure. ContextProvider also allows for rapid development of new context and bio-aware applications.
Through its design, implementation, and evaluation on the Android platform, ContextProvider has demonstrated the possibility of incorporating new monitoring sensors with fewer than 100 lines of Java code per sensor. With adaptive sensor monitoring, power consumption per active sensor can be reduced down to 1% overhead. Finally, with the use of context, accuracy of data interpretation can be improved by up to 80%.
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