LineChaser: A Smartphone-Based Navigation System for Blind People to Stand in Lines

Kuribayashi, Masaki; Kayukawa, Seita; Takagi, Hironobu; Asakawa, Chieko; Morishima, Shigeo

doi:10.1145/3411764.3445451

Cited by 23 publications

(7 citation statements)

References 43 publications

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“…This group involves solutions that users use on smartphones, offering portability and convenience for users. We can highlight recent works for this category [22,23].…”

Section: Smartphone-based Solutionsmentioning

confidence: 99%

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Object Recognition to Support Navigation Systems for Blind in Uncontrolled Environments

Marcon

Ortoncelli

2022

Anais Do XIII Computer on the Beach - COTB'22

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Efficient navigation is a challenge for visually impaired people. Several technologies combine sensors, cameras, or feedback chan-nels to increase the autonomy and mobility of visually impaired people. Still, many existing systems are expensive and complexto a blind person’s needs. This work presents a dataset for indoornavigation purposes with annotated ground-truth representingreal-world situations. We also performed a study on the efficiencyof deep-learning-based approaches on such dataset. These resultsrepresent initial efforts to develop a real-time navigation systemfor visually impaired people in uncontrolled indoor environments.We analyzed the use of video-based object recognition algorithms for the automatic detection of five groups of objects: i) fire extin-guisher; ii) emergency sign; iii) attention sign; iv) internal sign, and v) other. We produced an experimental database with 20 minutesand 6 seconds of videos recorded by a person walking throughthe corridors of the largest building on campus. In addition to thetesting database, other contributions of this work are the study onthe efficiency of five state-of-the-art deep-learning-based models(YOLO-v3, YOLO-v3 tiny, YOLO-v4, YOLO-v4 tiny, and YOLO-v4scaled), achieving results above 82% performance in uncontrolledenvironments, reaching up to 93% with YOLO-v4. It was possible toprocess between 62 and 371 Frames Per Second (FPS) concerning thespeed, being the YOLO-v4 tiny architecture, the fastest one. Codeand dataset available at: https://github.com/ICDI/navigation4blind.

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“…This group involves solutions that users use on smartphones, offering portability and convenience for users. We can highlight recent works for this category [22,23].…”

Section: Smartphone-based Solutionsmentioning

confidence: 99%

“…In [22] the authors propose a system called LineChaser to help blind people walk in lines in public spaces. The system uses an RGB-D camera to guide a blind user to the end of the line and continuously reports the distance and direction to the last person on the line, which must follow.…”

Section: Smartphone-based Solutionsmentioning

confidence: 99%

Object Recognition to Support Navigation Systems for Blind in Uncontrolled Environments

Marcon

Ortoncelli

2022

Anais Do XIII Computer on the Beach - COTB'22

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“…Empathy alone may not suffice to sustain attention [27], simulations may inadvertently create biases or distress [53], resulting in perpetuated ableism [25]. More recent focus is on co-designing with people with disabilities (e.g., [7,32,33,74]); e.g., citizens, healthcare professionals, and designers co-design personalized healthcare solutions [33], sighted and blind participants design building navigation together [32]. Collective efforts to enhance the user experience can extend the impact beyond individuals with disabilities alone, encompassing different abilities of all [48,61,63].…”

Section: Advancing Accessibility: Beyond Empathy and Simulationsmentioning

confidence: 99%

AccessLens: Auto-detecting Inaccessibility of Everyday Objects

Kwon,

Lu,

Qazi

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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“…Several smartphone-based applications are also very useful for visually impaired students. Kuribayashi et al [15] developed a smartphone-based system for blind people that enables them to identify and avoid obstacles and thus supports navigation. This system used an RGB camera and a built in infrared depth sensor to identify the surrounding pedestrians along with their position.…”

Section: Introductionmentioning

confidence: 99%

A mobile e-learning application for enhancement of basic mathematical skills in visually impaired children

Shoaib

Khan²,

Fitzpatrick

et al. 2023

Univ Access Inf Soc

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Although smartphones are equipped with accessibility functions, they still pose significant problems for visually impaired people. Sometimes these functions cannot fulfil the expectations of users. Early mobile devices had physical buttons and a keypad, and visually impaired users could navigate around the keypad using the tactile markers on the buttons. However, the lack of tactile markers makes it much more difficult to operate a touchscreen device. This paper describes an e-learning platform that is designed to improve the accessibility of smartphone applications for students who are visually impaired but have some useful vision. A User-Centered Design approach was used to develop an effective solution for visually impaired students. A study was conducted during the development of the described platform, and the results showed that our suggested design improves task completion time as compared to the initial version. Participants also expressed higher levels of satisfaction when using the improved design of this platform. The modified design was also assessed using the Mobile Application Rating Scale (MARS), and the results indicate that it is quite reliable and rated well among visually impaired children. Furthermore, developers can use our suggested design guidelines such as clear navigation, color contrast, immediate feedback, icon arrangements, button and text size in the development of new applications.

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LineChaser: A Smartphone-Based Navigation System for Blind People to Stand in Lines

Cited by 23 publications

References 43 publications

Object Recognition to Support Navigation Systems for Blind in Uncontrolled Environments

Object Recognition to Support Navigation Systems for Blind in Uncontrolled Environments

AccessLens: Auto-detecting Inaccessibility of Everyday Objects

A mobile e-learning application for enhancement of basic mathematical skills in visually impaired children

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