Date of Award
Spring 2026
Degree Type
Thesis
Department
Psychology
Director of Thesis
Dr. Svetlana S. Shinkareva
Second Reader
Xuan Yang
Abstract
My thesis aims to develop and evaluate a facial coding system that can quantify facial movements in the context of misophonia. The system uses binary coding to individually quantify and identify each orofacial movement that occurs independent of other movements or artifacts that could interfere with coding data. The system can be used across multiple coders with statistically significant reliability into how orofacial movements are interpreted. The psychophysiological verification study used electromyography to examine the muscle potentiation of the corrugator supercilii and zygomaticus major muscles to map observable facial movement to underlying muscle potentiation. This facial coding system can be used to identify specific expressions linked to misophonia and contribute to a better understanding of the underlying mechanisms of the condition. Data derived from the facial coding system can also be used as a benchmark coding system to verify and develop other facial coding systems such as OpenFace and Py-Feat.
First Page
1
Last Page
49
Recommended Citation
Sellers, Rachel P., "Developing a Coding System to Record Orofacial Movements for Misophonia with Verification from Physiology Data" (2026). Senior Theses. 887.
https://scholarcommons.sc.edu/senior_theses/887
Rights
Copyright © 2026, Rachel Sellers. All rights reserved.