Stephan Pölzer, Klaus Miesenberger,
"Assisting People with Nystagmus Through Image Stabilization: Using an ARX Model to Overcome Processing Delays"
: Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, Serie IEEE Xplore, Seite(n) 1222, 2017
Original Titel:
Assisting People with Nystagmus Through Image Stabilization: Using an ARX Model to Overcome Processing Delays
Sprache des Titels:
Englisch
Original Buchtitel:
Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE
Original Kurzfassung:
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.
Forschungs-