Umezawa, A;
Takegawa, Y;
Suzuki, K;
Masai, K;
Sugiura, Y;
Sugimoto, M;
Tokuda, Y;
... Hirata, K; + view all
(2020)
E2-MaskZ: A Mask-type Display with Facial Expression Identification using Embedded Photo Reflective Sensors.
In:
AHs '20: Proceedings of the Augmented Humans International Conference.
(pp. p. 36).
ACM: Association for Computing Machinery: Kaiserslautern, Germany.
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Abstract
The goal of this research is to propose the e2-MaskZ, a mask-type display that changes the user's face to the face of an avatar. The e2-MaskZ is composed of a face-capture mask to recognize the facial expression, and a face-display mask to present the avatar that reflects the recognize expression of the system wearer. 40 photo reflective sensors are laid out across the entire surface of the face-capture mask, and the e2-Mask is made to learn the sensor data for each new facial expression.
Type: | Proceedings paper |
---|---|
Title: | E2-MaskZ: A Mask-type Display with Facial Expression Identification using Embedded Photo Reflective Sensors |
Event: | AHs '20: Augmented Humans International Conference |
ISBN-13: | 9781450376037 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3384657.3385332 |
Publisher version: | https://doi.org/10.1145/3384657.3385332 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10110753 |




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