EyeControl: Towards Unconstrained Eye Tracking in Industrial Environments

  • Florian Jungwirth
  • , Michael Haslgrübler-Huemer
  • , Michaela Murauer
  • , Benedikt Gollan
  • , Pratheeban Elancheliyan
  • , Alois Ferscha

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

We propose the idea of a powerful mobile eye tracking platform that enables whole new ways of explicit and implicit human-machine interactions in complex industrial settings. The system is based on two hardware components (NVIDIA Jetson TX2, Pupil labs eye tracker) and a message-oriented framework for real-time processing [1]. The design is described and potential use cases are sketched.
Original languageEnglish
Title of host publicationSUI '18 Proceedings of the Symposium on Spatial User Interaction
PublisherACM DL
Pages177
Number of pages1
ISBN (Electronic)9781450357081
DOIs
Publication statusPublished - Oct 2018

Fields of science

  • 202017 Embedded systems
  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102013 Human-computer interaction
  • 102019 Machine learning
  • 102020 Medical informatics
  • 102021 Pervasive computing
  • 102022 Software development
  • 102025 Distributed systems
  • 211902 Assistive technologies

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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