AnonEmoFace: Emotion Preserving Facial Anonymization

Jan Hintz, Jacob Rühe, Ingo Siegert

2024

Abstract

Seeking therapy often implies a major hurdle, especially when it comes to addressing personal problems that cause shame or are socially stigmatized. This is where the recent developments of remote therapy can help. To further reduce this barrier, it can be accommodating to carry out the therapy anonymously. This paper present a proof of concept for such an anonymization of remote therapy video calls. The aim is to enable video calls for subjects without the risk of being identified by their face. The challenge lies in the contradiction of preserving emotional content and successful anonymization. To achieve this goal, avatarization by facial landmark detection is employed. In a user study with 30 participants we achieved an unweighted average recall of 48.6% for facial recognition task, confirming anonymity, while preserving emotional expressivity with an accuracy of 93.3% for happiness, 68.3% for fear, 50.05% for anger and 35.5% for disgust. Thus creating a safe environment for the user, while preserving emotional content for therapeutic purposes.

Paper Citation

in Harvard Style

Hintz J., Rühe J. and Siegert I. (2024). AnonEmoFace: Emotion Preserving Facial Anonymization. In Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP; ISBN 978-989-758-683-5, SciTePress, pages 785-788. DOI: 10.5220/0012410600003648

in Bibtex Style

@conference{icissp24,
author={Jan Hintz and Jacob Rühe and Ingo Siegert},
title={AnonEmoFace: Emotion Preserving Facial Anonymization},
booktitle={Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP},
year={2024},
pages={785-788},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012410600003648},
isbn={978-989-758-683-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP
TI - AnonEmoFace: Emotion Preserving Facial Anonymization
SN - 978-989-758-683-5
AU - Hintz J.
AU - Rühe J.
AU - Siegert I.
PY - 2024
SP - 785
EP - 788
DO - 10.5220/0012410600003648
PB - SciTePress