Date of Award
Spring 2009
Document 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.
Recommended Citation
McGinness, Nicholas, "Fall Detection for the Elderly in an Activity-Based Computing (ABC) Environment" (2009). Master's Theses (1922-2009) Access restricted to Marquette Campus. 2136.
https://epublications.marquette.edu/theses/2136