2,164 research outputs found
Iranian cashes recognition using mobile
In economical societies of today, using cash is an inseparable aspect of
human life. People use cashes for marketing, services, entertainments, bank
operations and so on. This huge amount of contact with cash and the necessity
of knowing the monetary value of it caused one of the most challenging problems
for visually impaired people. In this paper we propose a mobile phone based
approach to identify monetary value of a picture taken from cashes using some
image processing and machine vision techniques. While the developed approach is
very fast, it can recognize the value of cash by average accuracy of about 95%
and can overcome different challenges like rotation, scaling, collision,
illumination changes, perspective, and some others.Comment: arXiv #13370
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities.
In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.X Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI
An Open Source Solution for Money Bill Recognition for the Visually Impaired User using Smartphones
According to estimates made by the World Health Organization there are approximately 285 million people with visual disabilities.
In Argentina, it is estimated that there are about 6 thousand blind people per million inhabitants. These people must face daily different situations that generate physical and psychological tension conditioning their quality of life. In particular in Argentina, one of these situations is to recognize and correctly differentiate the denomination of Argentine money bills. The current system used is heavily affected by the usage of the money bills. In this paper, we present the design and development of a novel application for mobile phones that automatically recognize money bills and credit cards. The application was design with the assistance of a visually impaired user. abstract environment.X Workshop Innovación en Sistemas de Software (WISS)Red de Universidades con Carreras en Informática (RedUNCI
Mobile Apps Catalog
The Mobile Apps Catalog is a collection of emergency management and assistive mobile applications intended to assist first responders, emergency managers, and the public, specifically people with disabilities or others with access and function needs. Highlighted in this catalog are readily available preparedness and response apps that can be accessed by wireless devices, as well as assistive resources to advance the usability of wireless devices for consumers with disabilities. The apps are also helpful for the whole community. “Federal Emergency Management Agency (FEMA)’s “Whole Community” approach to emergency management recognizes that individuals, families and communities are assets and keys to success (Fugate 2011).
Privacy-preserving Twitter-based solution for visually impaired people
Visually impaired people is a big community all over the world. They usually seek help to perform their daily activities such as reading the expired date of food cans or medicine, reading out PIN of a certain ATM Visa, identifying the color of clothes or differentiate between the money notes and other objects with the same shape. A number of IT-based solutions have been proposed to help and assist blind and/or visually impaired people. Generally speaking, these solutions, however, do not support Arabic languages nor protect blind users’ privacy. In this paper, Trusted Blind Society (TBS) mobile application is proposed. It is an android application which allows blind users to recognize their unknown surroundings by utilizing two concepts: social networks sites and friendsourcing. These two concepts were employed by allowing family members and the trusted friends, who are registered on Twitter, to answer blind users’ questions on a real time. The solution is also bilingual, supports (Arabic/English) and allows screen reader using Android talk-back service. The performance of the TBS system was evaluated using loader.io to check its stability under the heavy load and it was tested by a number of blind volunteers and the results showed good performance comparing to most related work
SURVEY: AUDIO READING SYSTEM FOR BLIND PERSONS
Audio Reading System is used to help blind people to read the text based on camera as input device and speaker as output device. The system used the OCR algorithm to extract the text from input image and Text-to-Speech algorithm to convert text into corresponding voice. In this paper, we review newest research of audio reading system. We discuss the hardware and software, which is used, on system for different types approach. Finally, the result of this paper that is: Raspberry pi, python and tesseract are best tools used in Audio reading system. Also the braille and finger print devices are not efficient and not easy to use
A survey of assistive technologies and applications for blind users on mobile platforms: a review and foundation for research
This paper summarizes recent developments in audio and tactile
feedback based assistive technologies targeting the blind
community. Current technology allows applications to be
efficiently distributed and run on mobile and handheld
devices, even in cases where computational requirements are
significant. As a result, electronic travel aids, navigational
assistance modules, text-to-speech applications, as well as
virtual audio displays which combine audio with haptic
channels are becoming integrated into standard mobile devices.
This trend, combined with the appearance of increasingly user-
friendly interfaces and modes of interaction has opened a
variety of new perspectives for the rehabilitation and
training of users with visual impairments. The goal of this
paper is to provide an overview of these developments based on
recent advances in basic research and application development.
Using this overview as a foundation, an agenda is outlined for
future research in mobile interaction design with respect to
users with special needs, as well as ultimately in relation to
sensor-bridging applications in genera
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“I can do everything but see!” – How People with Vision Impairments Negotiate their Abilities in Social Contexts
This research takes an orientation to visual impairment (VI) that does not regard it as fixed or determined alone in or through the body. Instead, we consider (dis)ability as produced through interactions with the environment and configured by the people and technology within it. Specifically, we explore how abilities become negotiated through video ethnography with six VI athletes and spectators during the Rio 2016 Paralympics. We use generated in-depth examples to identify how technology can be a meaningful part of ability negotiations, emphasizing how these embed into the social interactions and lives of people with VI. In contrast to treating technology as a solution to a ‘sensory deficit’, we understand it to support the triangulation process of sense-making through provision of appropriate additional information. Further, we suggest that technology should not try and replace human assistance, but instead enable people with VI to better identify and interact with other people in-situ
VizWiz
The lack of access to visual information like text labels, icons,and colors can cause frustration and decrease independence for blind people. Current access technology uses automatic approaches to address some problems in this space, but the technology is error-prone, limited in scope, and quite expensive. In this paper, we introduce VizWiz, a talking application for mobile phones that offers a new alternative to answering visual questions in nearly real-time—asking multiple people on the web. To support answering questions quickly, we introduce a general approach for intelligently recruiting human workers in advance called quikTurkit so that workers are available when new questions arrive. A field deployment with 11 blind participants illustrates that blind people can effectively use VizWiz to cheaply answer questions in their everyday lives, highlighting issues that automatic approaches will need to address to be useful. Finally, we illustrate the potential of using VizWiz as part of the participatory design of advanced tools by using it to build and evaluate VizWiz::LocateIt, an interactive mobile tool that helps blind people solve general visual search problems
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