research-article
Authors: Tuochao Chen, Benjamin Steeper, Kinan Alsheikh, Songyun Tao, François Guimbretière, Cheng Zhang
UIST '20: Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology
Pages 112 - 125
Published: 20 October 2020 Publication History
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Abstract
C-Face (Contour-Face) is an ear-mounted wearable sensing technology that uses two miniature cameras to continuously reconstruct facial expressions by deep learning contours of the face. When facial muscles move, the contours of the face change from the point of view of the ear-mounted cameras. These subtle changes are fed into a deep learning model which continuously outputs 42 facial feature points representing the shapes and positions of the mouth, eyes and eyebrows. To evaluate C-Face, we embedded our technology into headphones and earphones. We conducted a user study with nine participants. In this study, we compared the output of our system to the feature points outputted by a state of the art computer vision library (Dlib) from a font facing camera. We found that the mean error of all 42 feature points was 0.77 mm for earphones and 0.74 mm for headphones. The mean error for 20 major feature points capturing the most active areas of the face was 1.43 mm for earphones and 1.39 mm for headphones. The ability to continuously reconstruct facial expressions introduces new opportunities in a variety of applications. As a demonstration, we implemented and evaluated C-Face for two applications: facial expression detection (outputting emojis) and silent speech recognition. We further discuss the opportunities and challenges of deploying C-Face in real-world applications.
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Title: C-Face: Continuously Reconstructing Facial Expressions by Deep Learning Contours of the Face with Ear-mounted Miniature Cameras Auxiliary/Supplemental Material: 1. Full_length_video.mp4: The full-length video for our paper, which is around 3 minutes and explains the system design, evaluation, and application of our paper. 2. Full_length_caption.srt: The closed captions file for full-length video. 3. Preview_video.mp4: The 30-second Video Preview 4. Preview_caption.srt: The closed captions file of Video Preview
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Cited By
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- Zhang JXie XPeng GLiu LYang HGuo RCao JYang J(2024)A Real-Time and Privacy-Preserving Facial Expression Recognition System Using an AI-Powered MicrocontrollerElectronics10.3390/electronics1314279113:14(2791)Online publication date: 16-Jul-2024
- Mizuho YKawasaki YAmesaka TSugiura Y(2024)EarAuthCam: Personal Identification and Authentication Method Using Ear Images Acquired with a Camera-Equipped Hearable DeviceProceedings of the Augmented Humans International Conference 202410.1145/3652920.3653059(119-130)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3652920.3653059
- Li KZhang RChen SChen BSakashita MGuimbretiere FZhang C(2024)EyeEcho: Continuous and Low-power Facial Expression Tracking on GlassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642613(1-24)Online publication date: 11-May-2024
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Index Terms
C-Face: Continuously Reconstructing Facial Expressions by Deep Learning Contours of the Face with Ear-mounted Miniature Cameras
Human-centered computing
Ubiquitous and mobile computing
Ubiquitous and mobile devices
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Published In
UIST '20: Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology
October 2020
1297 pages
ISBN:9781450375146
DOI:10.1145/3379337
- General Chairs:
- Shamsi Iqbal
Microsoft Research, USA
, - Karon MacLean
University of British Columbia, Canada
, - Program Chairs:
- Fanny Chevalier
University of Toronto, Canada
, - Stefanie Mueller
MIT CSAIL, USA
Copyright © 2020 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [emailprotected]
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- SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 October 2020
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Author Tags
- computer vision: facial expression reconstruction and tracking
- deep learning
- ear sensing
- emoji recognition
- silent speech
- wearable computing
Qualifiers
- Research-article
Conference
UIST '20
Sponsor:
- SIGGRAPH
- SIGCHI
UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology
October 20 - 23, 2020
Virtual Event, USA
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Overall Acceptance Rate 561 of 2,567 submissions, 22%
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Cited By
View all
- Zhang JXie XPeng GLiu LYang HGuo RCao JYang J(2024)A Real-Time and Privacy-Preserving Facial Expression Recognition System Using an AI-Powered MicrocontrollerElectronics10.3390/electronics1314279113:14(2791)Online publication date: 16-Jul-2024
- Mizuho YKawasaki YAmesaka TSugiura Y(2024)EarAuthCam: Personal Identification and Authentication Method Using Ear Images Acquired with a Camera-Equipped Hearable DeviceProceedings of the Augmented Humans International Conference 202410.1145/3652920.3653059(119-130)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3652920.3653059
- Li KZhang RChen SChen BSakashita MGuimbretiere FZhang C(2024)EyeEcho: Continuous and Low-power Facial Expression Tracking on GlassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642613(1-24)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642613
- Pandey LArif A(2024)MELDER: The Design and Evaluation of a Real-time Silent Speech Recognizer for Mobile DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642348(1-23)Online publication date: 11-May-2024
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- Yang XWang XDong GYan ZSrivastava MHayashi EZhang Y(2023)HeadarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109007:3(1-28)Online publication date: 27-Sep-2023
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