Date of Award
Thesis - SCU Access Only
Santa Clara : Santa Clara University, 2017.
Everyday there are thousands of people who struggle with social issues and related anxieties. One major aspect of this issue stems from many people’s inability to easily recognize another person’s emotions. Many of these people usually have an autism spectrum disorder. Struggling with reading other people’s facial expressions can lead to severe social anxiety and problems connecting with others. In this document, we are proposing an Android mobile application that uses computer vision libraries and pre-existing emotion recognition application programming interfaces to process live video and audio streams. The app, Emojent, then displays information that gives the user an estimation of another person’s emotional state, based on their facial expression or vocal tone. A simple UI makes the application easier to use. We completed a prototype application demonstrating video analysis, as of this writing.
Boehnlein, Kevin; Burchenal, Wilson; and Srikanth, Sathya, "Emojent" (2017). Computer Science and Engineering Senior Theses. 80.
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