Carleton University
A Quaternion-Based Motion Tracking and Gesture Recognition System Using Wireless Inertial Sensors
Abstract
dc:description.abstractThis work examines the development of a unified motion tracking and gesture recognition system that functions through worn inertial sensors. The system is comprised of a total of ten sensors and uses their quaternion output to map the player's motions to an onscreen character. To demonstrate the system's capabilities, a simple virtual reality game was created. A hierarchical skeletal model was implemented that allows players to navigate the virtual world without the need of a hand-held controller. In addition to motion tracking, the system was tested for its potential for gesture recognition. Despite the widespread use of Hidden Markov Models, our modified Markov Chain algorithm obtained higher average recognition accuracies at 95% and faster computation times. Combining motion tracking and dynamic gesture recognition into a single unified system is unique in the literature and comes at a time when virtual reality and wearable computing are emerging in the marketplace.
Degree
thesis:*- Name thesis:degree_name
- Master of Applied Science (M.App.Sc.)
- Level thesis:degree_level
- Master's
- Discipline thesis:degree_discipline
- Human-Computer Interaction
- Grantor dc:publisher
- Carleton University
- Year dc:date.issued
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Arsenault, Dennis
Rights
dc:rights- Statement dc:rights
-
- Copyright © 2014 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:carleton.scholaris.ca:20.500.14718/39357