Extraspectral Imaging for Improving the Perceived Information Presented in Retinal Prosthesis

Al-Atabany, Walid; Yaman, Musa Al; Degenaar, Patrick

doi:10.1155/2018/3493826

Cited by 5 publications

(4 citation statements)

References 43 publications

(39 reference statements)

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“…In terms of complex scene understanding, just few SPV studies have been proposed [24,84]. It is well established that in realistic environment, which is made of complex scenes, the observer is forced to select relevant elements [85].…”

Section: Actual/predictedmentioning

confidence: 99%

Semantic and structural image segmentation for prosthetic vision

2020

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Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the prosthetic vision, improving the amount of information that is presented. We present a new approach to build a schematic representation of indoor environments for simulated phosphene images. The proposed method combines a variety of convolutional neural networks for extracting and conveying relevant information about the scene such as structural informative edges of the environment and silhouettes of segmented objects. Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system. The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.

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Section: Actual/predictedmentioning

confidence: 99%

Semantic and structural image segmentation for prosthetic vision

2020

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“…The remaining three simulation studies in this category focused on low-level visual function ( Bermudez-Cameo, Badias-Herbera, Guerrero-Viu, Lopez-Nicolas, & Guerrero, 2017 ; Al-Atabany, Al Yaman, & Degenaar, 2018 ; Titchener et al., 2018 ). Two of these studies used AR for enhancing an SPV scene: Al-Atabany et al. (2018) using infrared (IR) overlays for counting people/actions in a scene and Bermudez-Cameo et al.…”

Section: Research Areasmentioning

confidence: 99%

A systematic review of extended reality (XR) for understanding and augmenting vision loss

et al. 2023

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Over the past decade, extended reality (XR) has emerged as an assistive technology not only to augment residual vision of people losing their sight but also to study the rudimentary vision restored to blind people by a visual neuroprosthesis. A defining quality of these XR technologies is their ability to update the stimulus based on the user’s eye, head, or body movements. To make the best use of these emerging technologies, it is valuable and timely to understand the state of this research and identify any shortcomings that are present. Here we present a systematic literature review of 227 publications from 106 different venues assessing the potential of XR technology to further visual accessibility. In contrast to other reviews, we sample studies from multiple scientific disciplines, focus on technology that augments a person’s residual vision, and require studies to feature a quantitative evaluation with appropriate end users. We summarize prominent findings from different XR research areas, show how the landscape has changed over the past decade, and identify scientific gaps in the literature. Specifically, we highlight the need for real-world validation, the broadening of end-user participation, and a more nuanced understanding of the usability of different XR-based accessibility aids.

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“…We have previously explored multispectral imaging approaches [55], but for this work, we propose a typical video stream from a standard portable camera with automatic gain control. The camera will be most likely located on a headset from which information can be passed to a video processor.…”

Section: Acquisitionmentioning

confidence: 99%

A scalable data transmission scheme for implantable optogenetic visual prostheses

Hou

Al-Atabany²,

Farag³

et al. 2020

J. Neural Eng.

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Objective. This work described a video information processing scheme for optogenetic forms of visual cortical prosthetics. Approach. The architecture is designed to perform a processing sequence: Initially simplifying the scene, followed by a pragmatic visual encoding scheme which assumes that initially optical stimulation will be stimulating bulk neural tissue rather than driving individual phosphenes. We demonstrate an optical encoder, combined with what we called a zero-run length encoding (zRLE) video compression and decompression scheme—to wirelessly transfer information to an implantable unit in an efficient manner. In the final step, we have incorporated an even power distribution driver to prevent excessive power fluctuations in the optogenetic driving. Significance. The key novelty in this work centres on the completeness of the scheme, the new zRLE compression algorithm and our even power distributor. Main results. Furthermore, although the paper focusses on the algorithm, we confirm that it can be implemented on real time portable processing hardware which we will use for our visual prosthetics.

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Extraspectral Imaging for Improving the Perceived Information Presented in Retinal Prosthesis

Cited by 5 publications

References 43 publications

Semantic and structural image segmentation for prosthetic vision

Semantic and structural image segmentation for prosthetic vision

A systematic review of extended reality (XR) for understanding and augmenting vision loss

A scalable data transmission scheme for implantable optogenetic visual prostheses

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