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University of Missouri--Kansas City

Active Mobile Interface for smart health

Abstract

dc:description.abstract

Computer interfaces are rapidly evolving beyond the traditional keyboard-mouse-monitor triad. The widespread availability of touch screens and voice recognition software has made it possible to execute commands in many different ways, especially on mobile computing devices. While this has made it possible to get work done with the minimum of physical exertion, the consequent sedentary life style increases the risk of health problems like obesity and cardiovascular disease. While the use of accelerometers and camera based sensors in electronic gaming involving physical exercise has grown considerably, such interfaces are yet to find their way into the workplace. This thesis is based on the general idea of making human computer interfaces more energetic for routine use, and not just for gaming. It proposes the idea of a virtual keyboard that requires energetic arm or leg motions to type. Tri-axial accelerometers embedded into a gaming device are employed together with a light-weight motion detection and interpretation algorithm to simulate the act of typing. The thesis includes quantitative and qualitative evaluation of the prototype interface deployed for use on a mobile device.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Computer Science (UMKC)
Grantor
University of Missouri--Kansas City
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gorla, Pratima
Advisor dc:contributor.advisor
  • Lee, Yugyung, 1960-

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10355/35936
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/35936

Chain of custody

source
Harvested from
University of Missouri - Kansas City
Base URL
mospace.umsystem.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Gorla, Pratima. Active Mobile Interface for smart health. Masters thesis, University of Missouri--Kansas City, 2013. http://hdl.handle.net/10355/35936