ArticleIEEE journal of translational engineering in health and medicine2023
Commute Booster: A Mobile Application for First/Last Mile and Middle Mile Navigation Support for People With Blindness and Low Vision.
Article in IEEE journal of translational engineering in health and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Residual gaze behaviour during navigation in blindness and low vision.Disability and rehabilitation. Assistive technology · 2026Review
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- Evaluating OCR performance for assistive technology: effects of walking speed, camera placement, and camera type.Disability and rehabilitation. Assistive technology · 2026Article
- Re-imagining sensory substitution through gestural control: Point-To-Tell 2.Disability and rehabilitation. Assistive technology · 2026Article
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- Haptics-based, higher-order sensory substitution designed for object negotiation in blindness and low vision: Virtual Whiskers.Disability and rehabilitation. Assistive technology · 2025Article
- Using ChatGPT To Generate Walking Directions-Could It Potentially Help Visually Impaired With Micronavigation?Translational vision science & technology · 2025Article
- An Enhanced Transportation System for People of Determination.Sensors (Basel, Switzerland) · 2024Article
- Field Evaluation of a Mobile App for Assisting Blind and Visually Impaired Travelers to Find Bus Stops.Translational vision science & technology · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
objectivePeople with blindness and low vision face substantial challenges when navigating both indoor and outdoor environments. While various solutions are available to facilitate travel to and from public transit hubs, there is a notable absence of solutions for navigating within transit hubs, often referred to as the "middle mile". Although research pilots have explored the middle mile journey, no solutions exist at scale, leaving a critical gap for commuters with disabilities. In this paper, we proposed a novel mobile application, Commute Booster, that offers full trip planning and real-time guidance inside the station. METHODS AND PROCEDURES: Our system consists of two key components: the general transit feed specification (GTFS) and optical character recognition (OCR). The GTFS dataset generates a comprehensive list of wayfinding signage within subway stations that users will encounter during their intended journey. The OCR functionality enables users to identify relevant navigation signs in their immediate surroundings. By seamlessly integrating these two components, Commute Booster provides real-time feedback to users regarding the presence or absence of relevant navigation signs within the field of view of their phone camera during their journey.
resultsAs part of our technical validation process, we conducted tests at three subway stations in New York City. The sign detection achieved an impressive overall accuracy rate of 0.97. Additionally, the system exhibited a maximum detection range of 11 meters and supported an oblique angle of approximately 110 degrees for field of view detection.
conclusionThe Commute Booster mobile application relies on computer vision technology and does not require additional sensors or infrastructure. It holds tremendous promise in assisting individuals with blindness and low vision during their daily commutes. Clinical and Translational Impact Statement: Commute Booster translates the combination of OCR and GTFS into an assistive tool, which holds great promise for assisting people with blindness and low vision in their daily commute.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.