Facial Emotion Recognition - Computer Science

Using machine learning techniques to recognize nonverbal signals such as facial expressions is both useful and challenging. Uses that interest our group include providing reflective feedback to teachers and students; and helping those with challenges in recognizing nonverbal cues to build these skills. The main challenges are a paucity of openly available, annotated images that express a variety of emotions and the confusion that comes when a person’s identity is entangled with their emotional responses. We are looking for students who possess good programming skills and are interested in applying these in the context of human learning.

Project Dates

Start Date: 1/10/2023 - End Date: 4/27/2023

Students Needed

Type of Project


Student Responsibilities

Provide support for software development and the running of studies involving human subjects

Time Commitment

10 hours per week hour(s)

Student Requirements

Completion of COP3503 preferred. Knowledge of Python and/or C# is a definite plus. Knowledge of Unity is also a plus.

Interested in Working With the Following Programs

For EXCEL URE Students Only

Additional Notes

The students will need to become CITI certified in order to support studies involving human participants. This is a relatively painless process.

Position Overview

  • Date Posted: 10-10-2019
  • Location:
    • Orlando (Main Campus)
  • Paid: Yes