A Cell Phone-Based Street Intersection Analyzer for Visually Impared Pedestrians
A Cell Phone-Based Street Intersection Analyzer for Visually Impared Pedestrians
批准号:
7681076
负责人:
JAMES M COUGHLAN
金额:
$34.67万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2011-02-28
关键词:
AccidentsAddressAlgorithmsAmericanCellular PhoneComplexComputer Vision SystemsComputer softwareCosmeticsCustomDetectionDevicesEffectivenessEquipmentEvaluationFaceFeedbackFigs - dietaryGrantHumanImageImage AnalysisImpairmentLeftLightMainstreamingMarketingModificationOperating SystemPatternPerformanceReadingResearchResearch InfrastructureResolutionRunningSelf-Help DevicesSeriesSignal TransductionSpeechSystemTactileTarget PopulationsTechniquesTestingTimeTrainingTravelVisionVisualVisual impairmentVisually Impaired PersonsWalkingWorkZebrabaseblindconsumer productcostdigitalexperienceimage processingimprovedlegally blindnovelpreventprogramsskillstooltraffickingway findingweb site
中文摘要
描述(申请人提供):城市十字路口是盲人出行中最危险的部分。它们正变得越来越复杂,使得使用传统盲目定向和移动技术的安全穿越变得更加困难。为了缓解这个问题,我们建议开发和评估一个基于手机的系统来分析盲人或视障人士使用标准拍照手机拍摄的街道交叉口图像,以提供实时反馈。根据我们最近在计算机视觉算法方面的工作,帮助盲人在街道交叉口找到人行横道和其他重要特征,以及我们正在进行的在手机上实现室内寻路和阅读数字电器显示的算法的工作,我们将完善这些算法,并在手机上实现它们。通过算法提取的信息将通过合成语音、音频音调和/或触觉反馈的组合(使用手机的内置振动器)传递给用户。人为因素研究将有助于确定如何配置系统及其用户控制,以实现最大的有效性和易用性,并提供对整个系统的评估。街道交叉口分析软件将免费下载到任何使用广泛使用的塞班操作系统的配备摄像头的手机上(如流行的诺基亚手机系列)。手机将不需要任何硬件修改或附加组件来运行该软件。最终,用户将能够将一整套这样的算法免费下载到他或她可能已经携带的手机上,而不必为每项功能携带单独的设备。相关性:有视力的人每天都认为在人行道上安全自信地行走和横穿人行横道是理所当然的,但大约有1000万严重视力障碍的美国人和100万合法失明的人在这项任务中面临严重困难。拟议的研究将产生一个高度可用的系统(对用户零成本或最低成本),以增强现有的寻路技术,这将极大地改善盲人和视障人士的独立旅行。
英文摘要
DESCRIPTION (provided by applicant): Urban intersections are the most dangerous parts of a blind person's travel. They are becoming increasingly complex, making safe crossing using conventional blind orientation and mobility techniques ever more difficult. To alleviate this problem, we propose to develop and evaluate a cell phone-based system to analyze images of street intersections, taken by a blind or visually impaired person using a standard camera cell phone, to provide real-time feedback. Drawing on our recent work on computer vision algorithms that help a blind person find crosswalks and other important features in a street intersection, as well as our ongoing work on cell phone implementations of algorithms for indoor wayfinding and for reading digital appliance displays, we will refine these algorithms and implement them on a cell phone. The information extracted by the algorithms will be communicated to the user with a combination of synthesized speech, audio tones and/or tactile feedback (using the cell phone's built-in vibrator). Human factors studies will help determine how to configure the system and its user controls for maximum effectiveness and ease of use, and provide an evaluation of the overall system. The street intersection analysis software will be made freely available for download into any camera-equipped cell phone that uses the widespread Symbian operating system (such as the popular Nokia cell phone series). The cell phone will not need any hardware modifications or add-ons to run this software. Ultimately a user will be able to download an entire suite of such algorithms for free onto the cell phone he or she is already likely to be carrying, without having to carry a separate piece of equipment for each function. Relevance: The ability to walk safely and confidently along sidewalks and traverse crosswalks is taken for granted every day by the sighted, but approximately 10 million Americans with significant vision impairments and a million who are legally blind face severe difficulties in this task. The proposed research would result in a highly accessible system (with zero or minimal cost to users) to augment existing wayfinding techniques, which could dramatically improve independent travel for blind and visually impaired persons.
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会议论文
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资助金额:$36.86万
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财政年份:2008
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海外基金