Date of Award

6-15-2017

Document Type

Thesis - SCU Access Only

Publisher

Santa Clara : Santa Clara University, 2017.

Department

Computer Engineering

First Advisor

Ahmed Amer

Abstract

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.

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