Computer-Assisted Immersive Visual Rehabilitation in Argus II Retinal Prosthesis Recipients

Rachitskaya, Aleksandra; Yuan, Alex; Davidson, Sara; Streicher, Matthew C.; DeBenedictis, Meghan J; Rosenfeldt, Anson B.; Alberts, Jay L.

doi:10.1016/j.oret.2019.11.007

Cited by 6 publications

(13 citation statements)

References 26 publications

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“…While 76 studies (

) used BLV end users to evaluate performance, most prosthetic vision studies (

) did not. Of the six studies that recruited bionic eye users, none consulted with BLV users about their information needs, and only two studies based their work on previous findings about the information needs of prosthesis users ( Sadeghi et al., 2021 ; Rachitskaya et al., 2020 ). Additionally, while many studies used BLV participants, very few conducted poststudy qualitative assessments.…”

Section: Research Areasmentioning

confidence: 99%

“… Rachitskaya et al. (2020) was the only study to use XR for visual rehabilitation of real bionic eye users.…”

Section: Research Areasmentioning

confidence: 99%

“…It was also the only study to mention consultation with the BLV community during development, having utilized an interdisciplinary team that incorporated ophthalmologists and rehabilitation specialists. Since there currently is no standardized procedure for vision rehabilitation across different Argus II implantation centers, Rachitskaya et al. (2020) developed a Computer-Assisted Rehabilitation Environment (CAREN), which consists of a motion capture system, control software with a 180° curved projection screen, a motion platform, and a treadmill.…”

Section: Research Areasmentioning

confidence: 99%

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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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“…While 76 studies (

) used BLV end users to evaluate performance, most prosthetic vision studies (

Section: Research Areasmentioning

confidence: 99%

“… Rachitskaya et al. (2020) was the only study to use XR for visual rehabilitation of real bionic eye users.…”

Section: Research Areasmentioning

confidence: 99%

Section: Research Areasmentioning

confidence: 99%

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

et al. 2023

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“…Although companies such as Second Sight Medical Products (the developers of the Argus II Retinal Prosthesis System [68]) provide training by low-vision specialists, there is currently no standardized procedure even across different Argus II implantation centers. Rachitskaya and colleagues [85] therefore developed a Computer-Assisted Rehabilitation Environment (CAREN), which consists of a 10-camera motion capture system, D-Flow control software with a 180°c urved projection screen, a 6-degrees-of-freedom motion platform, and a treadmill. For safety, participants donned a harness, had access to handrails on the treadmill, and were accompanied by a physical therapist.…”

Section: Visual Rehabilitationmentioning

confidence: 99%

“…For safety, participants donned a harness, had access to handrails on the treadmill, and were accompanied by a physical therapist. In their pilot study [85], the authors first replicated some of the commonly employed visual function tests (e.g., square localization, grating visual acuity, and direction-of-motion discrimination), before moving on to gait assessment, postural stability, and walking speed during basic orientation & mobility tasks. In the future, this platform could be used as a safe environment where bionic eye users can hone their visual skills.…”

Section: Visual Rehabilitationmentioning

confidence: 99%

Furthering Visual Accessibility with Extended Reality (XR): A Systematic Review

Kasowski¹,

Johnson²,

Neydavood³

et al. 2021

Preprint

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Over the past decade, extended reality (XR) applications have increasingly been used as assistive technology for people with low vision (LV). Here we present a systematic literature review of 216 publications from 109 different venues assessing the potential of XR technology to serve as not just a visual accessibility aid but also as a tool to study perception and behavior in people with low vision and blind people whose vision was restored with a visual neuroprosthesis. These technologies may be used to visually enhance a person's environment for completing daily activities, train LV participants with residual vision, or simulate either a specific visual impairment or the artificial vision generated by a prosthetic implant. We also highlight the need for adequate empirical evaluation, the broadening of end-user participation, and a more nuanced understanding of the suitability and usability of different XR-based accessibility aids.

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Accuracy study of the Oculus Touch v2 versus inertial sensor for a single-axis rotation simulating the elbow’s range of motion

et al. 2022

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Virtual reality (VR) has emerged as a valid addition to conventional therapy in rehabilitation and sports medicine. This has enabled the development of novel and affordable rehabilitation strategies. However, before VR devices can be used in these situations, they must accurately capture the range of motion of the body-segment where they are mounted. This study aims to state the accuracy of the Oculus Touch v2 controller when used to measure the elbow’s motion in the sagittal plane. The controller is benchmarked against an inertial sensor (ENLAZA$$^{\mathrm{TM}}$$ TM ), which has already been validated as a reliable measurement device. We have developed a virtual environment that matches both the Oculus Touch v2 and the inertial sensor orientations using a digital goniometer. We have also collected the orientation measurements given by each system for a set of 17 static angles that cover the full range of normal elbow flexion and hyperextension motion, in 10° intervals from − 10° (hyperextension) to 150° (flexion). We have applied the intra-rater reliability test to assess the level of agreement between the measurements of these devices, obtaining a value of 0.999, with a 95% confidence interval ranged from 0.996 to 1.000. By analyzing the angle measurement outcomes, we have found that the accuracy degrades at flexion values between 70° and 110°, peaking at 90°. The accuracy of Oculus Touch v2 when used to capture the elbow’s flexion motion is good enough for the development of VR rehabilitation applications based on it. However, the flaws in the accuracy that have been revealed in this experimental study must be considered when designing such applications.

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Computer-Assisted Immersive Visual Rehabilitation in Argus II Retinal Prosthesis Recipients

Cited by 6 publications

References 26 publications

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

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

Furthering Visual Accessibility with Extended Reality (XR): A Systematic Review

Accuracy study of the Oculus Touch v2 versus inertial sensor for a single-axis rotation simulating the elbow’s range of motion

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