Assisting People with Nystagmus Through Image Stabilization: Using an ARX Model to Overcome Processing Delays

Activity: Talk or presentationInvited talkscience-to-science

Description

Pathological Nystagmus is characterized by an unintended and involuntary eye-movement, which tends to impact on visual acuity. Today only view therapies (for instance medication or surgeries) to treat nystagmus are at hand and the existing therapies only show partial improvement. Only general Assistive Technology (AT) solutions like glasses, screen magnifiers, speech output, display adaptation and concepts holders are at hand to support daily living. More specific ATs to reduce the impact of nystagmus are missing. This paper presents conceptual research and feasibility studies with the attempt to reduce the impact of nystagmus by stabilizing the image on the retina (digital Retinal Image Stabilization) by moving the digital image synchronal with the unintended eye movement using gaze contingent display technology. Further an identification and validation process using recorded eyemovements is presented since the synchronization approach relies on predicting eye-movements to reduce the impact of delays due to processing time.
Period12 Jul 2017
Event titleunbekannt/unknown
Event typeConference
LocationKorea, Republic ofShow on map

Fields of science

  • 502007 E-commerce
  • 509002 Disability studies
  • 102027 Web engineering
  • 302027 Hearing, voice and language disorders
  • 202004 Brain-computer interface
  • 503008 E-learning
  • 102 Computer Sciences
  • 602013 Sign language research
  • 506002 E-government
  • 211902 Assistive technologies
  • 102022 Software development
  • 102021 Pervasive computing
  • 102013 Human-computer interaction
  • 102024 Usability research
  • 102015 Information systems
  • 102026 Virtual reality
  • 102014 Information design

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Social Systems, Markets and Welfare States
  • Engineering and Natural Sciences (in general)