AffectiveHMD: Facial expression recognition in head mounted display using embedded photo reflective sensors

Masaaki Murakami, Kosuke Kikui, Katsuhiro Suzuki, Fumihiko Nakamura, Masaaki Fukuoka, Katsutoshi Masai, Yuta Sugiura, Maki Sugimoto

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

Abstract

We propose a facial expression mapping technology between virtual avatars and Head-Mounted Display (HMD) users. HMDs allow people to enjoy an immersive Virtual Reality (VR) experience. A virtual avatar can be a representative of the user in the virtual environment. However, the synchronization of the virtual avatar’s expressions with those of the HMD user is limited. The major problem of wearing an HMD is that a large portion of the user’s face is occluded, making facial recognition difficult in an HMD-based virtual environment. To overcome this problem, we propose a facial expression mapping technology using photo-reflective sensors. The sensors attached inside the HMD measure the reflection intensity between the sensors and the user’s face. The intensity values of five basic facial expressions (Neutral, Happy, Angry, Surprised, and Sad) are used for training a classifier to estimate the facial expression of a user. In Siggraph 2019, the user can enjoy two application, the facial expression synchronization with the avatar, and simple manipulation experience for a virtual environment by facial expressions.

Original languageEnglish
Title of host publicationACM SIGGRAPH 2019 Emerging Technologies, SIGGRAPH 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450363082
DOIs
Publication statusPublished - 2019 Jul 28
EventACM SIGGRAPH 2019 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019 - Los Angeles, United States
Duration: 2019 Jul 28 → …

Publication series

NameACM SIGGRAPH 2019 Emerging Technologies, SIGGRAPH 2019

Conference

ConferenceACM SIGGRAPH 2019 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019
CountryUnited States
CityLos Angeles
Period19/7/28 → …

Keywords

  • Avatar
  • Classification
  • Facial expression recognition

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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  • Cite this

    Murakami, M., Kikui, K., Suzuki, K., Nakamura, F., Fukuoka, M., Masai, K., Sugiura, Y., & Sugimoto, M. (2019). AffectiveHMD: Facial expression recognition in head mounted display using embedded photo reflective sensors. In ACM SIGGRAPH 2019 Emerging Technologies, SIGGRAPH 2019 (ACM SIGGRAPH 2019 Emerging Technologies, SIGGRAPH 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3305367.3335039