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

Akino Umezawa, Yoshinari Takegawa, Katsuhiro Suzuki, Katsutoshi Masai, Yuta Sugiura, Maki Sugimoto, Yutaka Tokuda, Diego Martinez Plasencia, Sriram Subramanian, Masafumi Takahashi, Hiroaki Taka, Keiji Hirata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the Augmented Humans International Conference, AHs 2020
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450376037
DOIs
Publication statusPublished - 2020 Mar 16
Event2020 Augmented Humans International Conference, AHs 2020 - Kaiserslautern, Germany
Duration: 2020 Mar 162020 Mar 17

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2020 Augmented Humans International Conference, AHs 2020
CountryGermany
CityKaiserslautern
Period20/3/1620/3/17

Keywords

  • Augmented Face
  • Communication
  • Human Agent Interaction

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Umezawa, A., Takegawa, Y., Suzuki, K., Masai, K., Sugiura, Y., Sugimoto, M., Tokuda, Y., Plasencia, D. M., Subramanian, S., Takahashi, M., Taka, H., & Hirata, K. (2020). E2-MaskZ: A Mask-type Display with Facial Expression Identification using Embedded Photo Reflective Sensors. In Proceedings of the Augmented Humans International Conference, AHs 2020 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3384657.3385332