Description
Motion capture using cost-effective sensing technology is challenging and the huge success of Microsoft Kinect has been attracting researchers to uncover the potential of using this technology into computer vision applications. In this thesis, an upper-body motion analysis in a home-based system for stroke rehabilitation using novel RGB-D camera - Kinect is presented.
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Contributors
- Du, Tingfang (Author)
- Turaga, Pavan (Thesis advisor)
- Spanias, Andreas (Committee member)
- Rikakis, Thanassis (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2012
Subjects
Resource Type
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Note
- Partial requirement for: M.S., Arizona State University, 2012Note typethesis
- Includes bibliographical refernces (p. 49-54)Note typebibliography
- Field of study: Electrical engineering
Citation and reuse
Statement of Responsibility
by Tingfang Du