Indoor Route Modeling and Guidance Method for Visually Impaired Wayfinding

视障寻路室内路线建模与引导方法

• 批准号: 9202468
• 负责人: Stephen J. McCormack
• 金额: $ 14.81万
• 依托单位: VISUS TECHNOLOGY, INC.
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-30 至 2017-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9202468
• 关键词: Accelerometer; Address; Architecture; Beds; Cellular Phone; Characteristics; Collection; Communities; Complement; Conscious; Consumption; Crowding; Data; Data Collection; Dependency; Detection; Development; Educational Status; Electronics; Elements; Employment; Engineering; Environment; Exercise; Fostering; Goals; Hybrids; Individual; Indoor environment; Institution; Label; Length; Location; Maps; Metadata; Methods; Modeling; Motion; Outcome; Participant; Pathway interactions; Performance; Phase; Positioning Attribute; Production; Program Accessibility; Psychological Stress; Reporting; Research; Research Infrastructure; Role; Route; Sampling; Services; Specialist; System; Techniques; Technology; Testing; Travel; Validation; Vision; Visual impairment; Workplace; base; blind; commercialization; data acquisition; data modeling; database schema; design; higher education; improved; indexing; instrument; interest; model building; programs; rehearsal; research study; response; self reliance; usability; way finding; web portal

Project Description The proposed project seeks to identify and refine a suitable indoor positioning solution for use with the community-driven Hello Navi educational infrastructure accessibility initiative and improve the state of the art of indoor wayfinding options for the visually impaired. We outline a Phase 1 project to create a validation testbed in an environment with known sight-impaired mobility characteristics using a realistic multi-level educational setting. As the basis for our test- bed construction we will instrument two buildings at the Carroll Center for the Blind to support our experiment to achieve enhanced accuracy using a crowdsourced differential correction basis applied to two disparate positioning characteristics—location-services-supplied geo- location and user-supplied pedometer counts adjusted for anthropometric variance. These two positioning characteristics will be combined with a database schema indexed to provide for bulk location of the user within the building serviced and then establish the point of entry into our accuracy-enhanced relative reference frame. In Phase 1 we will conduct an aggressive indoor positioning solution overview with the intent of using the most promising elements and methods available in conjunction with our data-driven approach to produce enhanced accuracy and crowdsourced participation for indoor positioning solutions. By managing sparse collections of location reporting services data throughout the 2D indoor floorplan and supplementing this with pedometer calculated route lengths we envision a system benefitting from two alternative positioning characteristics one is based on sample average pedometer-derived route lengths between designated points of interest (POI) and the other is based on remote positioning provided by GPS and WiFi based location reporting services. We combine this positioning basis with an infrastructure based component consisting of affixed NFC tags located throughout the floorplan. Vertical displacement and floorplan indexing strategy for multi-level environments is addressed using a supplemental approach consisting of vertical access points being identified with the affixed NFC tags and a vertical accelerometer disturbance trigger to validate upward or downward motion, complemented by user-based confirmation of multi-level floorplan availability and selection. We also plan a multi-role commercial web portal as a basis for fostering activism and participation in facilities accessibility improvement within educational facilities nationwide. Our proposed Phase I test bed will provide a basis for quantifying the availability and accuracy of indoor location services and the error concerns related to lengthy pedometer displacement dependencies within or solution. Crowd-data collection methods will be employed to establish that commercial cell-phone location reporting combined with descriptive POI meta-data and normalize pedometer counts can be used to improve the scale and orientation modelling accuracy of a three-dimensional route plan for an indoor environment and that the data can be formatted sufficiently to support playback technology for delivering a usable electronic guide- rope service for those with vision impairment. The goal for Phase 1 is to isolate a most effective positioning solution for use with the Hello Navi initiative. We will employ adaptive design response during Phase 1 to produce a proposal for Phase 2 production engineering of the most promising indoor positioning solution. Note for this resubmission, material revisions have been introduced to our Project Description Specific Aims, Research Strategy, and References Cited along with the required Introduction detailing this re-submitted application.

项目描述 建议的工程计划旨在物色和改善一套合适的室内定位解决方案， 通过社区驱动的Hello Navi教育基础设施无障碍倡议， 为视障人士提供更先进的室内寻路选择。我们勾勒出一个 第1阶段项目，在已知视力受损的环境中创建验证测试台 使用现实的多层次教育环境的流动性特点。作为我们测试的基础- 我们将在卡罗尔盲人中心的两座建筑物上安装仪器， 我们的实验是使用众包差分校正来提高精度， 应用于两个不同定位特征的基础-位置-服务-提供的地理- 位置和用户提供的计步器计数调整人体测量方差。这两 定位特征将与索引的数据库模式相结合， 用户在所服务的建筑物内的位置，然后建立进入我们的 精确度增强的相对参考系。在第一阶段，我们将进行一个积极的室内 定位解决方案概述，旨在使用最有前途的元素和方法 可与我们的数据驱动方法结合使用，以提高准确性， 室内定位解决方案的众包参与。通过管理稀疏的 位置报告服务于整个2D室内平面布置图中的数据，并利用 计步器计算的路线长度，我们设想一个系统受益于两个替代方案 定位特性一是基于样本平均计步器导出的路线长度 一种是基于指定的兴趣点（POI），另一种是基于远程定位 由基于GPS和WiFi的位置报告服务提供。我们将联合收割机的定位 基于基础设施的组件，由贴在各处的NFC标签组成 楼层平面图多层环境的垂直位移和平面图索引策略 使用由确定的垂直接入点组成的补充方法解决 通过贴附的NFC标签和垂直加速度计干扰触发器， 向下运动，辅之以基于用户的多层平面布置图可用性确认 和选择。我们还计划建立一个多功能的商业门户网站，作为促进行动主义的基础 以及参与全国教育设施内的设施无障碍改善。 我们建议的第一阶段测试床将提供量化的可用性和准确性的基础 室内定位服务和与长时间计步器位移相关的错误问题 依赖关系或解决方案。将采用人群数据收集方法， 商业手机位置报告结合描述性POI元数据， 归一化计步器计数可用于改善比例和方向建模 室内环境的三维路线规划的准确性，并且数据可以 充分格式化以支持用于递送可用电子指南的回放技术， 为视障人士提供绳索服务。第一阶段的目标是分离出最有效的 定位解决方案，用于Hello Navi计划。我们将采用适应性设计 在第1阶段的反应，以产生一个建议，为第2阶段的生产工程的最 室内定位解决方案。 本次重新提交的注意事项，我们的项目说明中已引入了材料修订 具体目标、研究策略和沿着所需引言引用的参考文献 详细介绍了这份重新提交的申请