Facial Emotion recognition analysis using deep learning through RGB-D imagery of VR participants through partially occluded facial types

Research output: Contribution to conferencePosterpeer-review

Abstract

Abstract:
This research poster outlines the initial development of a facial emotion recognition (FER) evaluation system based on RGB-D imagery captured via a mobile based device. The study outlined features control group of non-occluded facial types and a set of participants wearing a head mounted display (HMD) in order to demonstrate an occluded facial type. We explore an architecture to develop a FER system that is suitable for occluded facial analysis. This paper details the methodology, experimental design and future work to be carried out to deliver such a system.
Original languageEnglish (Ireland)
DOIs
Publication statusPublished - Mar 2022
Event2022 IEEE on Conference Virtual Reality and 3D User Interfaces (VR) - Christchurch (Virtually), Christchurch, New Zealand
Duration: 12 Mar 202216 Mar 2022
https://ieeevr.org/2022/

Conference

Conference2022 IEEE on Conference Virtual Reality and 3D User Interfaces (VR)
Abbreviated titleIEEEVR22
Country/TerritoryNew Zealand
CityChristchurch
Period12/03/202216/03/2022
Internet address

Keywords

  • Augmented Reality
  • Virtual Reality
  • Deep Learning
  • Emotion Recognition
  • Mixed Reality
  • Facial Emotion recognition

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