Skip to main content

Characterizing Motor Learning of a Novel Reaching Task in a Virtual Environment Using Kinematic Evaluation

Abstract Virtual environments are used for many physical rehabilitation and therapy purposes with varying degrees of success. An important feature for a therapy environment is the real-time monitoring of a participants' movement performance. Such monitoring can be used to evaluate the environment in addition to the participant's learning. Methods for monitoring and evaluation include tracking kinematic performance as well as monitoring muscle and brain activities through EMG and EEG technology. This study aims to observe trends in individual participants' motor learning based on changes in kinematic parameters and use those parameters to characterize different types of learners. This information can then guide EEG/EMG data analysis in th... (more)
Created Date 2010
Contributor Attygalle, Suneth Satoshi (Author) / He, Jiping (Advisor) / Rikakais, Thanassis (Committee member) / Iasemidis, Leonidas (Committee member) / Arizona State University (Publisher)
Subject Biomedical Engineering / Physical Therapy / Multimedia / Augmented Reality / Interactive Multimedia / Rehabilitation / Stroke / Virtual Reality
Type Masters Thesis
Extent 54 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Bioengineering 2010
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

  Full Text
3.4 MB application/pdf
Download Count: 1349

Description Dissertation/Thesis