@inproceedings{7e596cc748624935b1c8d20df087ae79,
title = "Excerpt of PPGface: Like What You Are Watching? Earphones Can {"}Feel{"} Your Facial Expressions",
abstract = "Facial expression recognition has been widely explored to demonstrate people's emotional states. However, existing systems primarily rely on external devices which seems less accessible and efficient. To this end, we propose PPGface, a ubiquitous facial expression recognition platform that leverages earable devices with built-in PPG sensor. PPGface understands the facial expressions through the dynamic PPG patterns resulting from facial muscle movements. Through several comprehensive studies, this work validates a great potential to be employed in future commodity earable devices.",
keywords = "Blood Vessel Deformation, Ear Canal, Facial Expression, PPG, Photoplethysmogram",
author = "Seokmin Choi and Yang Gao and Yincheng Jin and Kim, \{Se Jun\} and Jiyang Li and Wenyao Xu and Zhanpeng Jin",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022 ; Conference date: 11-09-2022 Through 15-09-2022",
year = "2023",
month = apr,
day = "24",
doi = "10.1145/3544793.3563418",
language = "English",
series = "UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "233--235",
booktitle = "UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers",
}