
Description
This paper presents work that was done to create a system capable of facial expression recognition (FER) using deep convolutional neural networks (CNNs) and test multiple configurations and methods. CNNs are able to extract powerful information about an image using multiple layers of generic feature detectors.
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Contributors
- Eusebio, Jose Miguel Ang (Author)
- Panchanathan, Sethuraman (Thesis director)
- McDaniel, Troy (Committee member)
- Venkateswara, Hemanth (Committee member)
- Computer Science and Engineering Program (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2016-05
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