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EyeControl: Eye-Controlled Machines

  • Amrouche, Sabrina (Forscher*in)
  • Campos, Yerania (Forscher*in)
  • Elancheliyan, Pratheeban (Forscher*in)
  • Gollan, Benedikt (Forscher*in)
  • Haslgrübler-Huemer, Michael (Forscher*in)
  • Jungwirth, Florian (Forscher*in)
  • Murauer, Michaela (Forscher*in)
  • Timofeev, Mikhail (Forscher*in)
  • Wirth, Christian (Forscher*in)
  • Ferscha, Alois (Projektleiter*in)

Projekt: Geförderte ForschungFFG - Österreichische Forschungsförderungsgesellschaft

Projektdetails

Beschreibung

EyeControl aims to create a whole new way of human-machine interaction in complex manufacturing settings, by introducing eye-gaze as a modality of implicit and explicit interaction with industrial machines and processes performed by them. The EyeControl project picks up on eye tracking techniques developed within the research team of the proposer, and will develop a framework for gaze-only machine controls. A methodological apparatus of universal, general purpose, reusable control components will be developed, and validated within cyberphysical industrial systems scenarios (Industrie 4.0) with world leading Austrian and European industries: voestalpine Stahl and voestalpine Polynorm. EyeControl is supposed to tackle pressing problems in heavy-duty industry worker-machine interactions, among them being (i) the optimization of product quality based on human visual inspections, and (ii) the optimization of cognitive load sensitive, guided interactions in complex assembly tasks. On top of these, the anticipated EyeControl research results are considered to lay foundational ground for a new generation of Man-Machine interaction modalities, with potential of application also in domains like medical engineering, maintenance and construction, operations management and the like.
StatusAbgeschlossen
Tatsächliches Beginn-/Enddatum01.09.201628.02.2020

Projektbeteiligte

  • Johannes Kepler Universität Linz (Leitung)
  • voestalpine Polynorm GmbH & Co. KG (Projektpartner*in)
  • Research Studios Austria Forschungsgesellschaft mbH (Projektpartner*in)
  • voestalpine Stahl GmbH (Projektpartner*in)

Wissenschaftszweige

  • 102019 Machine Learning
  • 102009 Computersimulation
  • 102 Informatik
  • 102022 Softwareentwicklung
  • 102021 Pervasive Computing
  • 102013 Human-Computer Interaction
  • 102025 Verteilte Systeme
  • 102020 Medizinische Informatik
  • 211902 Assistierende Technologien
  • 202017 Embedded Systems
  • 211912 Produktgestaltung

JKU-Schwerpunkte

  • Digital Transformation