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E2-MaskZ: A Mask-type Display with Facial Expression Identification using Embedded Photo Reflective Sensors

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. Green open access

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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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