Indoor Route Modeling and Guidance Method for Visually Impaired Wayfinding

项目说明 拟议的项目旨在确定和改进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和 提高为视障人士提供的室内寻路选择的最新水平。我们勾勒出一个 在已知视障人士的环境中创建验证试验床的第1阶段项目 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- 床建设我们将在卡罗尔盲人中心的两栋建筑上安装仪器，以支持 我们的实验使用众包差值校正来实现更高的精度 适用于两个不同的定位特征的基础-位置服务-提供的地理位置- 位置和用户提供的计步器计数根据人体测量差异进行调整。这两个 定位特征将与编制索引的数据库模式相结合，以提供批量 用户在提供服务的大楼内的位置，然后建立进入我们的 提高了相对参照系的精确度。在第一阶段，我们将进行一次激进的室内 定位解决方案概述，目的是使用最有希望的元素和方法 可与我们的数据驱动方法结合使用，以提高精确度和 室内定位解决方案的众包参与。通过管理稀疏的 位置报告服务数据贯穿2D室内平面图，并补充 计步器计算的路线长度我们设想了一个受益于两种选择的系统 定位特征一是基于样本平均计步器派生的路径长度 在指定的兴趣点(POI)和另一个之间基于远程定位 由基于GPS和WiFi的位置报告服务提供。我们结合了这一定位 以基于基础设施的组件为基础，该组件由整个位置粘贴的NFC标签组成 楼层平面图。面向多层次环境的垂直位移和平面索引策略 使用由确定的垂直接入点组成的补充方法来解决 使用粘贴的NFC标签和垂直加速度计干扰触发器来验证向上或 向下移动，辅之以基于用户的多层平面图可用性确认 和选择。我们还计划建立一个多功能的商业门户网站，作为培养激进主义的基础。 并参与改善全国教育设施内的设施无障碍。 我们提议的第一阶段试验台将为量化可用性和准确性提供基础 室内定位服务和与长时间计步器移位相关的误差问题 或解决方案中的依赖项。将采用人群数据收集方法来建立 商业手机位置报告与描述性POI元数据和 可以使用归一化计步器计数来改进比例尺和方位建模 室内环境的三维路线计划的准确性，并且数据可以 格式足以支持回放技术，以提供可用的电子指南- 为视力障碍者提供绳索服务。第一阶段的目标是分离出最有效的 定位与Hello Navi计划一起使用的解决方案。我们将采用适应性设计 在第一阶段的响应中产生了对第二阶段生产工程的最多的建议 前景看好的室内定位解决方案。 注：对于此次重新提交，我们的项目描述中引入了材料修订 具体目标、研究策略和参考文献，以及所需的介绍 详细说明了这份重新提交的申请。

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.