Abstract
This poster introduces the Masked FER-2013 dataset that can be used to analyze facial emotions in people wearing masks and train a recognizer. The FER-2013 dataset containing face images annotated with seven emotions was modified by synthesizing mask images into the lower portion of the face. Based on the quantitative evaluation, our dataset can improve the accuracy of CNN, VGG, and ResNet models' emotion recognition in masked images by a maximum of 46%. Additionally, as a use case, we present an application that recognizes the emotions of a masked person, generates emotional face animation, and augments it on a real mask during video conferencing.
| Original language | English |
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| Title of host publication | Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 747-748 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350348392 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 - Shanghai, China Duration: 2023 Mar 25 → 2023 Mar 29 |
Publication series
| Name | Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 |
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Conference
| Conference | 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 |
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| Country/Territory | China |
| City | Shanghai |
| Period | 23/3/25 → 23/3/29 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Artificial intelligence
- Computer vision
- Computing methodologies
- Human computer interaction (HCI)
- Human-centered computing
- Interaction paradigms-Mixed / augmented reality
- Object recognition
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Media Technology