Providing Access to Appliance Displays for Visually Impaired Users
Providing Access to Appliance Displays for Visually Impaired Users
批准号:
8579051
负责人:
JAMES M COUGHLAN
金额:
$37.61万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-04-01 至 2016-08-31
关键词:
Access to InformationAddressAdoptionAlgorithmsAmericanAutomobile DrivingBlindnessComputer Vision SystemsComputer softwareCosmeticsCustomDataDetectionDevelopmentDevicesEconomicsEducationEmploymentEvaluationFeedbackFingersGlareGoalsHandHome environmentHouseholdImageImage AnalysisImage EnhancementImaging problemImpairmentIndependent LivingLocationMainstreamingMeasuresMovementPerformancePrevalencePrintingProceduresReaderReadingResearchResearch InfrastructureRunningSchoolsSelf-Help DevicesSpeechSystemTabletsTechniquesTestingTextTrainingUniversitiesVisionVisualVisual impairmentVisually Impaired PersonsWorkWorkplacebaseblindconsumer productdesigndigitalimprovedinformation displayinterestmicrowave electromagnetic radiationnovelopen sourceoptical character recognitionprototypepublic health relevance
中文摘要
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英文摘要
Providing Access to Appliance Displays for Visually Impaired
Users
Summary
The goal of this project is to develop a computer vision system that runs on smartphones and
tablets to enable blind and visually impaired persons to read appliance displays. This ability is
increasingly necessary to use a variety of household and commercial appliances equipped with
displays, such as microwave ovens and thermostats, and is essential for independent living,
education and employment. No access to this information is currently afforded by conventional
text reading systems such as optical character recognition (OCR), which is intended for reading
printed documents. Our proposed system runs as software on a standard, off-the-shelf
smartphone or tablet and uses computer vision algorithms to analyze video images taken by the
user and to detect and read the text within each image. For blind users, this text is either read
aloud using synthesized speech, or for low vision users, presented in magnified, contrast-
enhanced form (which is most suited to the use of a tablet).
We propose to build on our past work on a prototype display reader using powerful new
techniques that will enable the resulting system to read a greater variety of LED/LCD display
text fonts, and to better accommodate the conditions that often make reading displays difficult,
including glare, reflections and poor contrast. These techniques include novel character
recognition techniques adapted specifically to the domain of digital displays; finger detection to
allow the user to point to a specific location of interest in the display; the use of display
templates as reference images to match to, and thereby help interpret, noisy images of displays;
and the integration of multiple views of the display into a single clear view. Special user
interface features such as the use of finger detection to help blind users aim the camera
towards the display and contrast-enhancement for low vision users address the particular needs
of different users. Blind and visually impaired subjects will test the system periodically to provide
feedback and performance data, driving the development and continual improvement of the
system, which will be assessed with objective performance measures. The resulting display
reader system will be released as an app for smartphones and tablets that can be downloaded
and used by anybody for free, and also as an open source project that can be freely built on or
modified for use in 3rd-party software.
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负责人:JAMES M COUGHLAN
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财政年份:2008
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依托单位:
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财政年份:2007
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依托单位:
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依托单位:
海外基金