Paper Info
Title
Assisting People With Nystagmus Through Image Stabilization: Using An Arx Model To Overcome Processing Delays
Abstract
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 eye-movements is presented since the synchronization approach relies on predicting eye-movements to reduce the impact of delays due to processing time.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8037051
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Synchronization,Daily living,Gaze,Visual acuity,Computer science,Image stabilization,Nystagmus,Digital image,Eye movement,Artificial intelligence
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
0
0.34
References 
Authors
4
2
Name
Order
Citations
PageRank
Stephan Polzer183.03
Klaus Miesenberger2838239.44