Design of Bionic Eye and Artificial Vision System; a Unique Project “Mobile Bio-Eye-Tronic System”

This article introduces the “Mobile Bio-Eye-Tronic System” which is an artificial vision system for the impaired (blind) people and also low vision (sight loss) people. “Mobile Bio-Eye-Tronic System” is a completely original project and unique to the author of this article. There are 45 million visually impaired (blind) people in the world and 135 million low vision (sight loss) people. 60% of blindness in the world is treatable and 20% is preventable. 25 million people are blind in Europe, 12 million in America, 9 million in India, 6 million in China, and 7 million in Africa. In Turkey, this number is approximately 300 thousand. Based on these statistics, the main aim of this article is to appeal to hundreds of thousands of people, to help them fulfill their daily activities, even partially, to improve the quality of life of these visually impaired people and to restore their health. In addition, the scientific and technical studies to be carried out on this subject will contribute to the enrichment of the literature on the subject and will also be beneficial for scientific and technical progress. When the current studies on bionic eyes are examined, there is no other system in the literature that obtains results using a mobile phone camera and software. The bionic eye stated in this article will be a first in this respect.

Self-service terminals (SSTs) are almost everywhere in our daily life and increasingly use capacitive and infrared touchscreens as the interface. Most of the current solutions to help blind and low vision (BLV) people access existing touchscreens mostly are only suitable for capacitive touchscreens and not for infrared touchscreens. In this paper, we proposed a voice-based interactive method using a conductive folding stand with the phone camera to allow BLV people to access both touchscreens of SSTs. Voice feedback was provided to guide users to move the phone close to the button and touch it with the end of the unfolded stand. Using a portable accessory, this method directly guided users to touch the target and effectively avoids false triggering. A preliminary evaluation indicated that our approach enabled users to access the target buttons on the touchscreen with high accuracy and a short completion time.

We design and build A11yBits, a tangible toolkit that empowers blind and low vision (BLV) people to easily create personalized do-it-yourself assistive technologies (DIY-ATs). A11yBits includes (1) a series of Sensing modules to detect both environmental information and user commands, (2) a set of Feedback modules to send multi-modal feedback, and (3) two Base modules (Sensing Base and Feedback Base) to power and connect the sensing and feedback modules. The toolkit enables accessible and easy assembly via a “plug-and-play” mechanism. BLV users can select and assemble their preferred modules to create personalized DIY-ATs.

While audio description (AD) is the standard approach for making videos accessible to blind and low vision (BLV) people, existing AD guidelines do not consider BLV users’ varied preferences across viewing scenarios. These scenarios range from how-to videos on YouTube, where users seek to learn new skills, to historical dramas on Netflix, where a user’s goal is entertainment. Additionally, the increase in video watching on mobile devices provides an opportunity to integrate nonverbal output modalities (e.g., audio cues, tactile elements, and visual enhancements). Through a formative survey and 15 semi-structured interviews, we identified BLV people’s video accessibility preferences across diverse scenarios. For example, participants valued action and equipment details for how-to videos, tactile graphics for learning scenarios, and 3D models for fantastical content. We define a six-dimensional video accessibility design space to guide future innovation and discuss how to move from “one-size-fits-all” paradigms to scenario-specific approaches.

Cooking is a vital yet challenging activity for blind and low vision (BLV) people, which involves many visual tasks that can be difficult and dangerous. BLV training services, such as vision rehabilitation, can effectively improve BLV people’s independence and quality of life in daily tasks, such as cooking. However, there is a lack of understanding on the practices employed by the training professionals and the barriers faced by BLV people in such training. To fill the gap, we interviewed six professionals to explore their training strategies and technology recommendations for BLV clients in cooking activities. Our findings revealed the fundamental principles, practices, and barriers in current BLV training services, identifying the gaps between training and reality.

Blind and low vision people use visual description services (VDS) to gain visual interpretation and build access in a world that privileges sight. Despite their many benefits, VDS have many harmful privacy and security implications. As a result, researchers are suggesting, exploring, and building obfuscation systems that detect and obscure private or sensitive materials. However, as obfuscation depends largely on sight to interpret outcomes, it is unknown whether Blind and low vision people would find such approaches useful. Our work aims to center the perspectives and opinions of Blind and low vision people on the potential of obfuscation to address privacy concerns in VDS. By reporting on interviews with 20 Blind and low vision people who use VDS, our findings reveal that popular research trends in obfuscation fail to capture the needs of Blind and low vision people. While obfuscation might be helpful in gaining more control, tensions around obfuscation misrecognition and confirmation are prominent. We turn to the framework of interdependence to unpack and understand obfuscation in VDS, enabling us to complicate privacy concerns, uncover the labor of Blind and low vision people, and emphasize the importance of safeguards. We provide design directions to move the trajectory of obfuscation research forward.

Screen readers are audio-based software that Blind and Low Vision (BLV) people use to interact with computing devices, such as tablets and smartphones. Although this technology has significantly improved the accessibility of touchscreen devices, the sequential nature of audio limits the bandwidth of information users can receive and process. We introduce TapNav, an adaptive spatiotactile screen reader prototype developed to interact with touchscreen interfaces spatially. TapNav's screen reader provides adaptive auditory feedback that, in combination with a tactile overlay, conveys spatial information and location of interface elements on-screen. We evaluated TapNav with 12 BLV users who interacted with TapNav to explore a data visualization and interact with a bank transactions application. Our qualitative findings show that touch points and spatially constrained navigation helped users anticipate outcomes for faster exploration, and offload cognitive load to touch. We provide design guidelines for creating tactile overlays for adaptive spatiotactile screen readers and discuss their generalizability beyond our exploratory data analysis and everyday application navigation scenarios.

People with low vision have a visual impairment that affects their ability to perform daily activities. Unlike blind people, low vision people have functional vision and can potentially benefit from smart glasses that provide dynamic, always-available visual information. We sought to determine what low vision people could see on mainstream commercial augmented reality (AR) glasses, despite their visual limitations and the device's constraints. We conducted a study with 20 low vision participants and 18 sighted controls, asking them to identify virtual shapes and text in different sizes, colors, and thicknesses. We also evaluated their ability to see the virtual elements while walking. We found that low vision participants were able to identify basic shapes and read short phrases on the glasses while sitting and walking. Identifying virtual elements had a similar effect on low vision and sighted people's walking speed, slowing it down slightly. Our study yielded preliminary evidence that mainstream AR glasses can be powerful accessibility tools. We derive guidelines for presenting visual output for low vision people and discuss opportunities for accessibility applications on this platform.

Background: Approximately 250,000 visually impaired people were registered in Korea in 2021, and eye diseases are often accompanied by various systemic diseases. This study aims to investigate the epidemiology, causative disease, and rehabilitation treatment for visually impaired and low-vision patients.Current Concepts: Visual impairment ranges from blindness in one eye to total blindness. Low vision refers to the visual acuity of 0.3 to 0.05 in the better eye, and the visual field is narrowed to less than 10 degrees. The common causes of visual impairment eye disorders include macular degeneration, glaucoma, diabetic maculopathy, retinitis pigmentosa, and congenital diseases. Among them, macular degeneration has been increasing significantly in recent years. If the disability is not changed, it is difficult to improve vision through treatment. The aim of treatment should be to retain the remaining visual function through the low vision aids for the visually impaired person.Discussion and Conclusion: Although various visual aids are being distributed, medical insurance coverage does not align with the need for improvement. Like other disabilities, multidisciplinary approaches to the visually impaired people are necessary. In addition, awareness of low vision should be improved so that there are no visually impaired and low vision people who are placed in a blind spot and suffer inconvenience.

While our community has many active projects involving blind people, low vision is rarely addressed. People with low vision have functional vision, but their visual impairment adversely affects their daily life and it cannot be corrected with glasses or contact lenses. Over the last few years, we have been conducting research with this understudied demographic: understanding low vision people's needs and designing applications to address the challenges they face. In this article, we discuss our ongoing research in this area, focusing on designing augmented reality applications for low vision users. We begin this article by describing low vision and motivating our focus on augmented reality applications on smartglasses for low vision people. We then provide overviews of three research projects that exemplify our research agenda: a study where we observed low vision people conducting a navigation and shopping task, a study where we examined low vision people's perception of virtual text and shapes on smartglasses, and the design of a smartglasses application that facilitates a visual search task.

For comprehensively participating in society, independent and safe mobility is an important skill for many daily activities. Spatial cognition is one of the most important human capabilities and addresses the acquisition, processing and utilization of knowledge about the spatial layout of environments. Humans predominantly use the visual sense for this and for blind and low vision people, the lack of spatial perception reduces their quality of life and their ability of independent living. In particular the spatial navigation in unknown environments imposes challenges, since there is no possibility to train navigation tasks in advance. Today, blind and visually impaired people still rely on traditional navigation aids such as a cane for micro-navigation, which - however - does not help for developing orientation at larger scale or for planning of routes. To overcome this problem, this paper introduces the concept of a virtual environment that allows experiencing unknown locations by real walking while still staying in a sage controlled environment. Since this virtual environment can be controlled in its complexity, it can be adjusted from an abstract training scenario to a real-life situation such as train stations or airports.

Low vision people who are more than 88% of visually impaired people want to use their residual vision and don't want to look like disabled. However, many assistive devices for low vision are suitable for use indoors and people with disabled are exposed using assistive device so that they are reluctant to use that. So, many low vision people want to use smart phone to solve problem but now functions of smartphone are not enough. In this study, we want to suggest smart assistive software and device for low vision people to use with residual vision as much as possible without being self-conscious. For that, we interviewed expert of low vision and low vision people with qualitative research methods. Based on the results, we present solution and suggest EYESEE, assistive device and application for low vision people.

While being able to read with screen magnifiers, low vision people have slow and unpleasant reading experiences. Eye tracking has the potential to improve their experience by recognizing fine-grained gaze behaviors and providing more targeted enhancements. To inspire gaze-based low vision technology, we investigate the suitable method to collect low vision users’ gaze data via commercial eye trackers and thoroughly explore their challenges in reading based on their gaze behaviors. With an improved calibration interface, we collected the gaze data of 20 low vision participants and 20 sighted controls who performed reading tasks on a computer screen; low vision participants were also asked to read with different screen magnifiers. We found that, with an accessible calibration interface and data collection method, commercial eye trackers can collect gaze data of comparable quality from low vision and sighted people. Our study identified low vision people’s unique gaze patterns during reading, building upon which, we propose design implications for gaze-based low vision technology.

Now-a-days blind people and low vision people are suffering with many problems. Some of the problems they face in their daily activities are reading, identifying the objects and especially they are facing the problem to identify their medicine while they are buying from the medical stores. Blind people and low vision people face the problem while consuming medicines at home for this they depend on other people taking the inappropriate medicines is dangerous for an individual. At present everyone are using the hardware devices such as smart phones in their day to day life. So there should be some application in the smart phones which helps the visually impaired people and old people to detect the text in order to identify the medicine. Our vision is to design an application that helps the visually impaired people to scan the image and convert the detected text in to voice message. Google vision library is used to develop an application on android platform which mainly contain three important functionalities which are Text Recognition, Text Detection and Converting Text To Speech. Scanning the medicine image is done by using an in-built camera and application developed in the smart phone.

Gait is an individual's walking pattern, and it is a significant part of daily living activities. Quantitative gait assessments, like spatiotemporal parameters (STPs), are related to the functional conditions to provide useful information. This study reviewed the comprehensive differences in spatiotemporal gait variability measures between visually impaired people and the sighted. The search strategy was performed in three databases (PubMed/MEDLINE, Web of Science, and Scopus) from the start date to October 2022, and the utilized keywords for this search are related to gait and blindness. This review considered only those studies that evaluated gait parameters in people with visual impairment and blind people without any limitations in age and gender. In this review, studies without a control group (sighted people) were excluded. The Newcastle-Ottawa Scale (NOS) was applied for critical appraisal. Six full manuscripts were included. The sample size ranged from 19 to 91. The mean modified NOS critical appraisal scores for cross-sectional studies were 6.0. In these studies, among nine STPs: stride length, walking speed, stance and swing phase, step width, cadence, step length, double support, and single support, at least five and at most seven factors were examined. The gait pattern of blind and low-vision people is characterized by a slower walking speed, shorter stride length, increased step width, decreased cadence, prolonged duration of double support, and reduced single support compared to the controls.