Title page for ETD etd-08042011-150513

Type of Document

Thesis

Author

Mitchell, Michael J

Author's Email Address

mitchell@cs.fsu.edu

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

Abstract

The 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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