Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation

Abhinav Veldanda, Hui Liu, Rainer Koschke, Tanja Schultz, Dennis Küster

2024

Abstract

Facial expressions play a crucial role in non-verbal and visual communication, often observed in everyday life. The facial action coding system (FACS) is a prominent framework for categorizing facial expressions as action units (AUs), which reflect the activity of facial muscles. This paper presents a proof-of-concept study for upper face action unit recognition (AUR) using electromyography (EMG) data. The study recorded facial EMG data of a subject over four sessions, who imitated facial expressions corresponding to four different AUs. The subject-dependent models that were trained achieved high accuracy in near-real time and were able to classify AUs not directly underneath the recording sites.

Paper Citation

in Harvard Style

Veldanda A., Liu H., Koschke R., Schultz T. and Küster D. (2024). Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES; ISBN 978-989-758-688-0, SciTePress, pages 142-151. DOI: 10.5220/0012399100003657

in Bibtex Style

@conference{biodevices24,
author={Abhinav Veldanda and Hui Liu and Rainer Koschke and Tanja Schultz and Dennis Küster},
title={Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES},
year={2024},
pages={142-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012399100003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES
TI - Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation
SN - 978-989-758-688-0
AU - Veldanda A.
AU - Liu H.
AU - Koschke R.
AU - Schultz T.
AU - Küster D.
PY - 2024
SP - 142
EP - 151
DO - 10.5220/0012399100003657
PB - SciTePress