SBIR Phase II: Mobile Indoor Localization and Navigation System Using Sensory Data with Data Mining and Machine Learning Techniques

SBIR 第二阶段：使用传感数据以及数据挖掘和机器学习技术的移动室内定位和导航系统

• 批准号: 1456416
• 负责人: Benjamin Balaguer
• 金额: $ 72.22万
• 依托单位: Intelligent Computer Programming Labs Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-03-01 至 2017-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1456416&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Mobile; Indoor

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will result from a revolution in the way buildings are used. If successfully implemented, the technology offers a solution to both end-users and companies. Users inside buildings will have access to floorplans, points of interest, location-based information, and turn-by-turn directions directly on their smartphones. Companies will be able to offer new experiences to customers, analyze their movements, and provide them with targeted information or advertisements when and where they need them. Other applications of the technology will provide considerable societal benefits: (i) first responders will be able to accurately localize victims, thus reducing response times and saving lives; (ii) building managers will be able to condition rooms in real-time based on their occupancies, substantially reducing energy consumption; (iii) people with disabilities will be able to obtain assistance by finding wheelchair-accessible routes; (iv) warehouse managers will be able to reduce order fulfillment time; (v) service providers (e.g., hospitals, military, IT) will be able to track, dispatch, and more efficiently manage critical workforce personnel (e.g. doctors and technicians). Indoor localization is expected to be, in the near future, as pervasive as GPS is today.This Small Business Innovation Research (SBIR) Phase II project will further develop the company's indoor localization technology and deploy it to mobile devices. By analyzing and processing smartphones' accelerometer, cellular, magnetometer, orientation, and WiFi sensor data, a building's sensory blueprint can be created. The building's sensory blueprint can then be exploited to localize people holding smartphones, by means of a combination of machine learning, data mining, sensor fusion, and statistical, tracking, and path planning algorithms. The project aims to develop and implement the following software services: (i) a mapping service that converts a smartphone's sensor readings into a sensory blueprint; (ii) a localization service that allows end-users to view their location inside buildings on their smart mobile devices; (iii) a navigation service that provides paths and turn-by-turn directions to points of interest; (iv) a location-based service that presents interesting information in the user's vicinity; (v) a behavior analytics engine that displays statistical information about a user's movement or building's utilization; (vi) a software package that facilitates the technology's distribution. These services will be deployed within a server-client framework, alleviating the space, memory, and computational constraints imposed by mobile devices.

这个小企业创新研究（SBIR）第二阶段项目的更广泛的影响/商业潜力将来自建筑物使用方式的革命。如果成功实施，该技术将为最终用户和公司提供解决方案。建筑物内的用户将可以直接在智能手机上访问平面图、兴趣点、基于位置的信息和逐向导航。公司将能够为客户提供新的体验，分析他们的动作，并在他们需要的时候和地点为他们提供有针对性的信息或广告。该技术的其他应用将带来巨大的社会效益：㈠第一反应者将能够准确定位受害者，从而缩短反应时间并拯救生命; ㈡建筑物管理人员将能够根据其占用情况实时调整房间，大大减少能源消耗; ㈢残疾人将能够通过寻找轮椅无障碍路线获得援助;（iv）仓库经理将能够减少订单履行时间;（v）服务提供商（例如，医院、军队、IT）将能够跟踪、调度和更有效地管理关键的劳动力人员（例如医生和技术人员）。 在不久的将来，室内定位技术有望像GPS一样普及。这个小型企业创新研究（SBIR）第二阶段项目将进一步开发公司的室内定位技术，并将其部署到移动的设备上。通过分析和处理智能手机的加速度计，蜂窝，磁力计，方向和WiFi传感器数据，可以创建建筑物的感官蓝图。然后，通过机器学习、数据挖掘、传感器融合以及统计、跟踪和路径规划算法的组合，可以利用建筑物的感官蓝图来定位持有智能手机的人。该项目旨在开发和实施以下软件服务：㈠地图服务，将智能手机的传感器读数转换为传感蓝图; ㈡定位服务，使最终用户能够在其智能移动的设备上查看其在建筑物内的位置; ㈢导航服务，提供通往感兴趣地点的路径和逐向方向指示;（iv）基于位置的服务，其呈现用户附近的感兴趣的信息;（v）行为分析引擎，其显示关于用户的移动或建筑物的利用的统计信息;（vi）促进技术的分发的软件包。这些服务将部署在服务器-客户端框架内，减轻移动的设备所带来的空间、内存和计算限制。