Indoor Sign Recognition for the Blind

Kunene, Dumisani; Vadapalli, Hima; Cronje, Jaco

doi:10.1145/2987491.2987530

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Some of the systems such as LowViz 11 use Bluetooth beacons [34,36,52], passive radio frequency identiication (RFID) [11,22], Near Field Communication tags (NFC) [23], sensor-based systems [20], or visual markers [5]. Others employ computer vision techniques to provide information about the environment [13,38,47,48] or use building plans in a certain format [27,31,32]. [9] gives a vast overview of the existing technologies and approaches designed for people with VI.…”

Section: Usage Of Maps and Technical Aidsmentioning

confidence: 99%

Traveling More Independently: A Study on the Diverse Needs and Challenges of People with Visual or Mobility Impairments in Unfamiliar Indoor Environments

Müller

Engel

Loitsch

et al. 2022

ACM Trans. Access. Comput.

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It is much more difficult for people with visual or mobility impairments to prepare for a trip or visit unfamiliar places than it is for people without disabilities. In addition to the usual travel arrangements, one needs to know if the various parts of the travel chain are accessible. To the best of our knowledge, there is no previous work that examines in depth travel behaviour for indoor environments for both trip planning and execution, highlighting the special needs of people with low vision, blindness or mobility impairments. In this paper, we present a survey with 125 participants with blindness, low vision and mobility impairments. We investigate how mobile they are, what strategies they use to prepare a journey to an unknown building, how they orient themselves there and what materials they use. For all three groups, our results provide insights into the problem space of the specific information needs when planning and executing a trip. We found that most of our participants have specific mobility problems depending on their disability. Feedback from the participants reveals there is a large information gap, especially for orientation in buildings, regarding availability of high-quality digital, tactile and printable indoor maps, accessibility of buildings and mobility supporting systems. In particular, there is a lack of available and high-quality indoor maps. Our analysis also points out that the specific needs differ for the three groups. Besides the expected between-group differences, also large in-group differences can be found. The current paper is an expanded version of [18] augmented by data of people with mobility impairments.

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Section: Usage Of Maps and Technical Aidsmentioning

confidence: 99%

Traveling More Independently: A Study on the Diverse Needs and Challenges of People with Visual or Mobility Impairments in Unfamiliar Indoor Environments

Müller

Engel

Loitsch

et al. 2022

ACM Trans. Access. Comput.

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“…Se han propuesto bastones en los que se integran sistemas de detección de obstáculos por ultrasonido o láser e informan al usuario mediante tonos musicales o incluso mediante señales tacto-vibrátiles [6][7][8]. Otro campo explorado ha sido utilizar técnicas de visión artificial para reconocer los señalamientos de interés [9][10][11]. Con los avances en años recientes de técnicas de visión artificial basadas en redes neuronales de aprendizaje profundo [12][13], se han propuesto trabajos que utilizan estas arquitecturas, algunos de ellos operando en ambientes en interiores, ambientes controlados y/o fondos claros [14] y otros, para ambientes en exteriores, como lo que se busca en este trabajo [15][16][17].…”

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Sistema de Reconocimiento de Señalamientos en Entornos Abiertos para la Orientación de Personas con Discapacidad Visual

González

Millán

Sánchez

et al. 2020

Memoria investig. ing. (Facultad Ing., Univ. Montev.)

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En este trabajo se presenta el desarrollo de un prototipo que permite identificar señalamientos específicos a través de técnicas de visión artificial. Utiliza una etapa de segmentación de imagen basada en el algoritmo de superpíxeles SLIC, seguida de una etapa de reconocimiento y clasificación de señalamientos basada en redes neuronales convolucionales que se ha implementado en un ordenador de placa reducida (SBC). El prototipo informa al usuario de la identificación de estos señalamientos a través de un mensaje de audio enviado a un auricular, cuenta con un módulo GPS que obtiene la ubicación donde se reconoció el señalamiento y se almacena para ofrecer al usuario notificaciones sobre señalamientos cercanos. Las pruebas fueron realizadas con señalamientos a escala 1:2 en entornos abiertos, con luz de día. El prototipo pretende ser un apoyo para que personas con discapacidad visual puedan desplazarse en entornos abiertos urbanos. Tiempos de procesamiento y desempeño del prototipo son reportados. Si bien la implementación en el ordenador de placa reducida seleccionado hace inviable su uso por los tiempos de operación, se demuestra la funcionalidad del sistema.

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Improved Detection and Interpretation of Multilingual Signboards in Natural Scene for Visually Impaired People

Zaman,

Khusro,

Tjoa

2023

2023 IEEE International Conference on Data and Software Engineering (ICoDSE)

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Indoor Sign Recognition for the Blind

Cited by 5 publications

References 12 publications

Traveling More Independently: A Study on the Diverse Needs and Challenges of People with Visual or Mobility Impairments in Unfamiliar Indoor Environments

Traveling More Independently: A Study on the Diverse Needs and Challenges of People with Visual or Mobility Impairments in Unfamiliar Indoor Environments

Sistema de Reconocimiento de Señalamientos en Entornos Abiertos para la Orientación de Personas con Discapacidad Visual

Improved Detection and Interpretation of Multilingual Signboards in Natural Scene for Visually Impaired People

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