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Authors: Abhinav Veldanda ; Hui Liu ; Rainer Koschke ; Tanja Schultz and Dennis Küster

Affiliation: Cognitive Systems Lab, University of Bremen, Germany

Keyword(s): Action Units, Electromyography, Facial Action Coding System, EMG, sEMG, fEMG, Pattern Recognition, Machine Learning.

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.

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Paper citation in several formats:
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 - BIODEVICES; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 142-151. DOI: 10.5220/0012399100003657

@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 - BIODEVICES},
year={2024},
pages={142-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012399100003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - 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
IS - 2184-4305
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

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