Date of Award

Spring 2009

Degree Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Mathematics, Statistics and Computer Science

First Advisor

Ahamed, Sheikh I.

Second Advisor

Harris, Douglas

Third Advisor

Madiraju, Praveen

Abstract

Computing in a health care or hospital setting can be very hectic. Oftentimes, health care staff need to work collaboratively to accomplish shared activities. Additionally, health care computing generally doesn't occur on one set of hardware; instead, it may occur over several devices, such as laptops or personal computers, personal digital assistants (PDAs), or any number of health care-specific devices. Current computing models do not suitably support this kind of an environment. Activity-based computing attempts to correct this, by providing a collaborative environment and context-awareness. An activity-based computing framework for mobile devices has been developed for this thesis. Fall detection is a thoroughly researched topic. However, none of the solutions researched to present have utilized an activity-based computing environment. An activity-based fall detection system has been implemented to evaluate the activity-based computing framework developed in this thesis. The activity-based fall detection system was evaluated by collecting some test data.

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