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 拟议项目旨在确定和完善合适的室内定位解决方案以供使用 通过社区驱动的 Hello Navi 教育基础设施无障碍倡议以及 我们概述了为视障人士提供先进的室内寻路选项的方法。 第一阶段项目在已知有视力障碍的环境中创建验证测试台 使用现实的多层次教育环境作为我们测试的基础。 床位建设 我们将为卡罗尔盲人中心的两座建筑安装仪器以支持 我们的实验使用众包差分校正来提高准确性 应用于两个不同定位特征的基础——提供地理定位服务 根据人体测量差异调整位置和用户提供的计步器计数。 定位特征将与索引的数据库模式相结合，以提供批量 用户在所服务的建筑物内的位置，然后建立进入我们的入口点 在第一阶段，我们将进行一个积极的室内参考系。 定位解决方案概述，旨在使用最有前途的元素和方法 与我们的数据驱动方法结合使用，可以提高准确性和 通过管理稀疏的集合来实现室内定位解决方案的众包参与。 整个 2D 室内平面图的位置报告服务数据，并补充该数据 计步器路线长度我们设想一个受益于两种替代方案的计算系统 定位特征一是基于样本平均计步器得出的路线长度 指定兴趣点 (POI) 与其他兴趣点之间基于远程定位 我们将这种定位服务与基于 GPS 和 WiFi 的位置报告服务结合起来。 基础设施的组件由遍布各处的 NFC 标签组成 多层环境的平面布置图和平面布置图索引策略。 使用由确定的垂直接入点组成的补充方法来解决 使用固定的 NFC 标签和垂直加速度计干扰触发器来验证向上或 向下运动，辅以基于用户的多层平面图可用性确认 我们还计划建立一个多功能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。 我们提议的第一阶段测试台将为量化可用性和准确性提供基础 室内定位服务的影响以及与计步器长时间位移相关的误差问题 将采用群体数据收集方法来建立依赖关系。 该商业手机位置报告与描述性 POI 元数据相结合， 标准化计步器计数可用于改进尺度和方向建模 室内环境三维路线规划的准确性，并且数据可以 充分格式化以支持播放技术以提供可用的电子指南- 为视力障碍者提供绳索服务 第一阶段的目标是隔离最有效的人。 与 Hello Navi 计划一起使用的定位解决方案我们将采用自适应设计。 第一阶段响应，为第二阶段生产工程提出建议 有前途的室内定位解决方案。 请注意，本次重新提交的内容已对我们的项目描述进行了重大修改 具体目标、研究策略、引用的参考文献以及所需的介绍 详细说明此重新提交的申请。