Emotion recognition in gamers wearing head-mounted display

Hwanmoo Yong, Jisuk Lee, Jongeun Choi

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

Abstract

Wearing head-mounted display (HMD) makes previous research regarding emotion recognition using machine vision ineffective since they utilized entire face images for training. In this paper, we trained the convolutional neural networks (CNNs) which are capable of estimating the emotions from the images of a face wearing a HMD by hiding eyes and eyebrows from existing face-emotion dataset. Our analysis based on the class activation maps show that it is capable of classifying emotions without the eyes and the eyebrows which ar to serve useful information in recognizing emotions. This implies the possibility of estimating the emotions from the images of humans wearing HMDs using machine vision.

Original languageEnglish
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1251-1252
Number of pages2
ISBN (Electronic)9781728113777
DOIs
Publication statusPublished - 2019 Mar
Event26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan
Duration: 2019 Mar 232019 Mar 27

Publication series

Name26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
CountryJapan
CityOsaka
Period19/3/2319/3/27

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Media Technology

Fingerprint Dive into the research topics of 'Emotion recognition in gamers wearing head-mounted display'. Together they form a unique fingerprint.

  • Cite this

    Yong, H., Lee, J., & Choi, J. (2019). Emotion recognition in gamers wearing head-mounted display. In 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings (pp. 1251-1252). [8797736] (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VR.2019.8797736