PPGface: Like What You arewatching? earphones can "feel" your facial expressions

Seokmin Choi, Yang Gao, Yincheng Jin, Se Jun Kim, Jiyang Li, Wenyao Xu, Zhanpeng Jin

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Recognition of facial expressions has been widely explored to represent people's emotional states. Existing facial expression recognition systems primarily rely on external cameras which make it less accessible and efficient in many real-life scenarios to monitor an individual's facial expression in a convenient and unobtrusive manner. To this end, we propose PPGface, a ubiquitous, easy-To-use, user-friendly 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. With the aid of the accelerometer sensor, PPGface can detect and recognize the user's seven universal facial expressions and relevant body posture unobtrusively. We conducted an user study (N=20) using multimodal ResNet to evaluate the performance of PPGface, and showed that PPGface can detect different facial expressions with 93.5 accuracy and 0.93 fl-score. In addition, to explore the robustness and usability of our proposed platform, we conducted several comprehensive experiments under real-world settings. Overall results of this work validate a great potential to be employed in future commodity earable devices.

Original languageEnglish
Article number48
JournalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Volume6
Issue number2
DOIs
StatePublished - Jul 2022
Externally publishedYes

Keywords

  • Blood Vessel Deformation
  • Ear Canal
  • Facial Expression
  • PPG
  • Photoplethysmogram

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