Image Emotion Dataset
This research aims to identify the harmony between human emotions (through facial expressions) and annotated emotions (the emotion associated with the image). This work can benefit different applications such as child development, rehabilitation centers, and others. In this work, we mainly focus on the data collection and annotation. We first collect a dataset of natural scenes based on the keywords and the compilation of existing datasets. We then integrate the facial expression recognition component, to capture the user's expression during the data annotation. Then, we evaluate the harmony between the annotated emotions vs. the recorded human expressions.
Van Tam Nguyen
Primary Advisor's Department
Stander Symposium project, College of Arts and Sciences
United Nations Sustainable Development Goals
Good Health and Well-Being; Quality Education
"Image Emotion Dataset" (2022). Stander Symposium Projects. 2466.