Description
This dissertation proposes a new set of analytical methods for high dimensional physiological sensors. The methodologies developed in this work were motivated by problems in learning science, but also apply to numerous disciplines where high dimensional signals are present.
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Contributors
- Lujan Moreno, Gustavo A. (Author)
- Runger, George C. (Thesis advisor)
- Atkinson, Robert K (Thesis advisor)
- Montgomery, Douglas C. (Committee member)
- Villalobos, Rene (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2017
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- Doctoral Dissertation Industrial Engineering 2017