eyeRoad – An App that Helps Visually Impaired Peoples
SSRN Electronic Journal
2024
- 210Usage
- 2Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The eyeRoad application is designed to address the unique challenges faced by visually impaired individuals in navigating their daily lives. Vision impairment significantly impacts an individual's ability to independently access information, travel safely, and engage with the world around them. eyeRoad aims to bridge this accessibility gap by harnessing the power of modern technology and leveraging the capabilities of smartphones. The app employs state-of-the-art machine learning and computer vision algorithms to offer real-time environmental analysis, object recognition, and voice-guided navigation, thereby enhancing mobility and independence. It utilizes the smartphone's camera and sensors to provide audible feedback, allowing users to identify objects, obstacles, and landmarks in their immediate vicinity. The eyeRoad also integrates seamlessly with existing mapping and public transportation services, enabling users to plan routes, access public transportation schedules, and receive step-by-step navigation instructions. The app's user-friendly interface and intuitive design cater to the diverse needs and preferences of visually impaired individuals, making it a valuable tool for enhancing their quality of life.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know