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Can I read W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear on EtoBox?
W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear by Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, and Deepak Ganesan is a Computer Science article available to read on EtoBox.
What is W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear about?
The ability to unobtrusively and continuously monitor one's facial expressions has implications for a variety of application domains ranging from affective computing to health-care and the entertainment industry. The standard Facial Action Coding System (FACS) along with camera based methods have been shown to provide objective indicators of facial expressions; however, these approaches can also be fairly limited for mobile applications due to privacy concerns and awkward positioning of the camera. To bridge this gap, W!NCE re-purposes a commercially available Electrooculography-based eyeglass (J!NS MEME) for continuously and unobtrusively sensing of upper facial action units with high fidelity. W!NCE detects facial gestures using a two-stage processing pipeline involving motion artifact removal and facial action detection. We validate our system's applicability through extensive evaluation on data from 17 users under stationary and ambulatory settings, a pilot study for continuous pain monitoring and several performance benchmarks. Our results are very encouraging, showing that we can detect five distinct facial action units with a mean F1 score of 0.88 in stationary and 0.82 in a
Who reads W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, and Deepak Ganesan
- Publisher
- ACM
- Published
- 2019
- Language
- EN
- Field
- Computer Science (Physical Sciences)