Mobility and low contrast trip hazard avoidance using augmented depth

McCarthy, Chris; Walker, Janine; Lieby, Paulette; Scott, A.; Barnes, Nick

doi:10.1088/1741-2560/12/1/016003

Cited by 43 publications

(36 citation statements)

References 53 publications

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“…Moreover, placing the capturing device outside the eye allows for the modular use of various other sensors such as thermal imagers 8 or depth cameras for obstacle detection. 9 The implanted photodiode array approach, without an external sensing element, lacks such flexibility. However, the sensor does move with the eye and stimulation is consistent with oculomotor information.…”

mentioning

confidence: 99%

Eye Movement Control in the Argus II Retinal-Prosthesis Enables Reduced Head Movement and Better Localization Precision

Caspi

Roy

Wuyyuru

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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mentioning

confidence: 99%

Eye Movement Control in the Argus II Retinal-Prosthesis Enables Reduced Head Movement and Better Localization Precision

Caspi

Roy

Wuyyuru

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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“…More recent studies also focused on obstacle avoidance in a corridor . It has been shown that artificial vision algorithms that highlight obstacles or planar surfaces improve the preferred walking speed . Dagnelie et al designed a virtual environment with a high contrast between the ground and the walls.…”

mentioning

confidence: 99%

Simplification of Visual Rendering in Simulated Prosthetic Vision Facilitates Navigation

2017

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Visual neuroprostheses are still limited and simulated prosthetic vision (SPV) is used to evaluate potential and forthcoming functionality of these implants. SPV has been used to evaluate the minimum requirement on visual neuroprosthetic characteristics to restore various functions such as reading, objects and face recognition, object grasping, etc. Some of these studies focused on obstacle avoidance but only a few investigated orientation or navigation abilities with prosthetic vision. The resolution of current arrays of electrodes is not sufficient to allow navigation tasks without additional processing of the visual input. In this study, we simulated a low resolution array (15 × 18 electrodes, similar to a forthcoming generation of arrays) and evaluated the navigation abilities restored when visual information was processed with various computer vision algorithms to enhance the visual rendering. Three main visual rendering strategies were compared to a control rendering in a wayfinding task within an unknown environment. The control rendering corresponded to a resizing of the original image onto the electrode array size, according to the average brightness of the pixels. In the first rendering strategy, vision distance was limited to 3, 6, or 9 m, respectively. In the second strategy, the rendering was not based on the brightness of the image pixels, but on the distance between the user and the elements in the field of view. In the last rendering strategy, only the edges of the environments were displayed, similar to a wireframe rendering. All the tested renderings, except the 3 m limitation of the viewing distance, improved navigation performance and decreased cognitive load. Interestingly, the distance‐based and wireframe renderings also improved the cognitive mapping of the unknown environment. These results show that low resolution implants are usable for wayfinding if specific computer vision algorithms are used to select and display appropriate information regarding the environment.

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“…Other challenges for vision processing such as limited ability to perceive noticeable difference using retinal implants (see [2] and [69]) are not addressed by this method. Methods that have shown efficacy in low vision may provide candidate approaches [16], or approaches proposed for specific tasks [28].…”

Section: Image Filters In Implantable Prosthetic Visionmentioning

confidence: 99%

“…Weiland et al [27] evaluated a tactile assistance system for obstacle avoidance with visually-impaired subjects. McCarthy et al [28] investigated augmenting a prosthetic vision visualization to make low-contrast obstacles evident. Eckmiller et al [29] presented a "road map" for a retina encoder to learn parameters of image filters to map to stimulation, and evaluated dialog-based tuning using SPV.…”

Section: Introductionmentioning

confidence: 99%

Vision function testing for a suprachoroidal retinal prosthesis: effects of image filtering

et al. 2016

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Participants successfully completed vision tasks using a 20 electrode suprachoroidal retinal prosthesis. Vision processing with a Nyquist bandlimited image filter has shown an advantage for a light localization task. This result suggests that this and targeted, more advanced vision processing schemes may become important components of retinal prostheses to enhance performance. ClinicalTrials.gov Identifier: NCT01503576.

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Mobility and low contrast trip hazard avoidance using augmented depth

Cited by 43 publications

References 53 publications

Eye Movement Control in the Argus II Retinal-Prosthesis Enables Reduced Head Movement and Better Localization Precision

Eye Movement Control in the Argus II Retinal-Prosthesis Enables Reduced Head Movement and Better Localization Precision

Simplification of Visual Rendering in Simulated Prosthetic Vision Facilitates Navigation

Vision function testing for a suprachoroidal retinal prosthesis: effects of image filtering

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