bachelor/master thesis - fau · mobile vr amblyopia trainer - a modern approach to amblyopia...

MACHINE LEARNING & DATA ANALYTICS Bachelor/Master Thesis at Machine Learning and Data Analytics Lab March 2020 Mobile VR Amblyopia Trainer - A modern approach to Amblyopia Amblyopia is a developmental disorder of the visual system which results from a blurred image of one eye (anisometropia) or a ocular misalignment (strabismus) in early childhood [1]. The brain suppresses the visual impression of the aﬀected or amblyopic eye to avoid blurred vision (in case of anisometropia) or double vision (in case of strabismus). Thus, binocular depth perception is lost. Over decades the primary treatment to amblyopia was patching the healthy eye to force the amblyopic eye to see. In that way the amblyopic eye should be trained to increase visual performance again. However, patching has multiple drawbacks one of which is the poor binocular depth perception outcome after treatment. We developed a novel binocular treatment using Virtual Reality (VR) technology in which the image quality of both eyes is balanced so that the patient sees binocularly. The balancing process consist of two parts: (1) Contrast reduction of the healthy eye to avoid suppression and (2) Strabismus compensation to avoid double vision and reestablish binocular depth perception. After that the patient can train and improve the visual performance and amblyopia is cured. To increase the usability of the developed system, it must be available for home-monitoring scenarios. By now the system consists of a high-performance PC with a wired VR-Headset and additional tracking hardware. The aim of this work is to implement a fully functional, yet simpliﬁed version of the system that runs on stand-alone devices like the HTC Vive Focus Plus or Oculus Quest. The implementation will be tested against the already available system performing a usability study. Requirements: • Literature and patent research of relevant work. • Get used to Unreal Engine 4. • Implementation of mobile VR Amblyopia Trainer. • Evaluation of the implemented mobile VR Amblyopia Trainer. References [1] J. M. Holmes and M. P. Clarke. Amblyopia, Lancet, 367(9519):1343–1351, 2006. [2] R. F. Hess. Amblyopia and the binocular approach to its therapy, Vision Research, 114:4–16, 2015. Start date: now Contact: Wolfgang Mehringer [email protected] +9131 85 27830

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Page 1: Bachelor/Master Thesis - FAU · Mobile VR Amblyopia Trainer - A modern approach to Amblyopia Amblyopia is a developmental disorder of the visual system which results from a blurred

MACHINE LEARNINGamp DATA ANALYTICS

BachelorMaster Thesisat Machine Learning and Data Analytics Lab

March 2020

Mobile VR Amblyopia Trainer - A modern approach to Amblyopia

Amblyopia is a developmental disorder of the visual system which results from a blurredimage of one eye (anisometropia) or a ocular misalignment (strabismus) in early childhood [1]The brain suppresses the visual impression of the affected or amblyopic eye to avoid blurredvision (in case of anisometropia) or double vision (in case of strabismus) Thus binoculardepth perception is lost Over decades the primary treatment to amblyopia was patching thehealthy eye to force the amblyopic eye to see In that way the amblyopic eye should betrained to increase visual performance again However patching has multiple drawbacks oneof which is the poor binocular depth perception outcome after treatment

We developed a novel binocular treatment using Virtual Reality (VR) technology in which theimage quality of both eyes is balanced so that the patient sees binocularly The balancingprocess consist of two parts (1) Contrast reduction of the healthy eye to avoid suppressionand (2) Strabismus compensation to avoid double vision and reestablish binocular depthperception After that the patient can train and improve the visual performance andamblyopia is cured

To increase the usability of the developed system it must be available for home-monitoringscenarios By now the system consists of a high-performance PC with a wired VR-Headsetand additional tracking hardware The aim of this work is to implement a fully functional yetsimplified version of the system that runs on stand-alone devices like the HTC Vive FocusPlus or Oculus Quest The implementation will be tested against the already available systemperforming a usability study

Requirements

bull Literature and patent research of relevant workbull Get used to Unreal Engine 4bull Implementation of mobile VR Amblyopia Trainerbull Evaluation of the implemented mobile VR Amblyopia Trainer

References

[1] J M Holmes and M P Clarke Amblyopia Lancet 367(9519)1343ndash1351 2006

[2] R F Hess Amblyopia and the binocular approach to its therapy Vision Research 1144ndash162015

Start date now Contact Wolfgang Mehringerwolfgangmehringerfaude+9131 85 27830

floridaatlantic locked Guide.pdfKids Club Marks FAU-00095A FAU-00093A FAU-00094A CLUE FAU-00106A ADDITIONAL PERTINENT INFORMATION FAU-00103A FAU-00109A FAU-00102A FAU-00108A The product

Amblyopia and suppression? · 2019-09-25 · amblyopia: A literature review. Vision Dev & Rehab 2016;2(1):54-67. Keywords: amblyopia, amblyopia treatment, neuroplasticity, suppression,

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