View Proposal

---

Proposer

Dave Robb

Title

Emotion Recognition

Goal

Develop a simple chat interface which modifies its interactions in response to detected emotions.

Description

Research emotion recognition systems. Evaluate open source emotion recognition tools. Develop a simple chat interface which modifies its interactions in response to detected emotions.

Resources

Background

As humans we are constantly, and usually subconsciously, attempting to judge the mood of those with whom we interact, and we do so with varying levels of success. Affective computing faces the similar challenge of enabling autonomous systems to estimate the internal states of their human users so that these systems can, like we do with people whom we encounter in our day, try to judge their mood. Systems can use such information to inform their approach to interacting with their human interlocutors.

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

2

Supervisor

Dave Robb

Keywords

affective computing, emotion recognition, natural language processing

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Software Systems)
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
BSc Data Sciences
Bachelor of Science in Computational Sciences and Software Engineering