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 拟议的项目旨在识别和完善适合使用的室内定位解决方案 通过社区驱动的Hello Navi教育基础设施可访问性倡议和 改善视力障碍的室内寻路选择的艺术状况。我们概述了一个 第1阶段项目在具有已知视觉障碍的环境中创建验证测试 使用现实的多层教育环境的流动性特征。作为我们测试的基础 床结构我们将在Carroll Center的两座建筑物中建造盲人支撑 我们使用众包差校正的实验以提高精度 适用于两个不同定位特征的基础 - 分机服务的地理 针对人体测量方差调整的位置和用户提供的计量计计数。这两个 定位特性将与索引索引的数据库架构相结合以提供批量 用户在建筑物中的位置服务，然后确定进入我们的入口点 精度增强的相对参考框架。在第1阶段，我们将进行积极的室内 定位解决方案概述，目的是使用最有希望的元素和方法 与我们的数据驱动方法一起提供，以提高准确性和 众包参与室内定位解决方案。通过管理稀疏的收藏 位置报告服务数据在整个2D室内弗洛尔普兰（Florplan 计算机计算的路线长度我们设想一个从两个替代方案中受益的系统 定位特性一个基于样本平均计量计衍生的路线长度 在指定的兴趣点（POI）和另一个之间是基于远程定位 由GPS和基于WiFi的位置报告服务提供。我们结合了这个定位 基于基于基础架构的组件，该组件由固定的NFC标签组成 弗洛普兰。多层环境的垂直位移和Florplan索引策略 使用由垂直访问点组成的补充方法来解决 带有固定的NFC标签和垂直加速度计的灾难触发，以向上验证或 向下运动，通过基于用户的多层次弗洛普兰可用性确认完成 和选择。我们还计划一个多功能商业网站作为促进活动的基础 并参与全国教育设施内的设施可及性改进。 我们提议的I期测试床将为量化可用性和准确性提供基础 室内位置服务以及与冗长的计步器位移有关的错误问题 内部或解决方案的依赖项。将雇用Crowd-Data收集方法来建立 该商业手机位置报告与描述性POI META-DATA和 标准化计数器计数可用于改善规模和方向建模 室内环境的三维路线计划的准确性，数据可以是 经过适当的格式以支持播放技术，以提供可用的电子指南 为有视力障碍的人提供绳索服务。第1阶段的目标是隔离最有效的 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1阶段的响应是为最多的2阶段生产工程提出建议 有希望的室内定位解决方案。 注意此重新提交，已将重大修订介绍给我们的项目描述 所引用的具体目的，研究策略和参考文献以及所需的介绍 详细说明此重新提交的应用程序。