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.
- Yanjiao Chen, Runmin Ou, Zhiyang Li, and Kaishun Wu. 2020. WiFace: facial expression recognition using Wi-Fi signals. IEEE Transactions on Mobile Computing (2020).Google Scholar
- Michael Goodman. 2021. U.S. SVOD Forecast (2010 - 2026). Technical Report. Strategy Analytics, Newton, Massachusetts USA. https://www.strategyanalytics.com/Last accessed: 2021-08-25.Google Scholar
- Anna Gruebler and Kenji Suzuki. 2010. Measurement of distal EMG signals using a wearable device for reading facial expressions. In Proceedings of the 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology. IEEE, 4594–4597.Google ScholarCross Ref
- Maxim Integrated. 2021. MAXM86161 Single-Supply Integrated Optical Module for HR and SpO2 Measurement. Data Sheet.Google Scholar
- Nianyin Zeng, Hong Zhang, Baoye Song, Weibo Liu, Yurong Li, and Abdullah M Dobaie. 2018. Facial expression recognition via learning deep sparse autoencoders. Neurocomputing 273 (2018), 643–649.Google ScholarCross Ref
- Tianming Zhao, Jian Liu, Yan Wang, Hongbo Liu, and Yingying Chen. 2019. Towards Low-cost Sign Language Gesture Recognition Leveraging Wearables. IEEE Transactions on Mobile Computing 20, 4 (2019), 1685–1701.Google ScholarCross Ref
Index Terms
- Excerpt of PPGface: Like What You Are Watching? Earphones Can “Feel” Your Facial Expressions
Recommendations
PPGface: Like What You Are Watching? Earphones Can "Feel" Your Facial Expressions
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 ...
A bi-modal face recognition framework integrating facial expression with facial appearance
Among many biometric characteristics, the facial biometric is considered to be the least intrusive technology that can be deployed in the real-world visual surveillance environment. However, in facial biometric, little research attention has been paid ...
Extraction of the minimum number of Gabor wavelet parameters for the recognition of natural facial expressions
Facial expression recognition has recently become an important research area, and many efforts have been made in facial feature extraction and its classification to improve face recognition systems. Most researchers adopt a posed facial expression ...
Comments