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

小型企业创新研究(SBIR)第二阶段项目的更广泛影响/商业潜力将来自建筑使用方式的革命。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他们的智能手机上访问平面图、兴趣点、基于位置的信息和逐个转弯的方向。公司将能够为客户提供新的体验，分析他们的行动，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。这项技术的其他应用将提供相当大的社会效益：(1)急救人员将能够准确地定位受害者，从而减少反应时间和拯救生命；(2)大楼管理人员将能够根据他们的占用情况实时调整房间条件，大大减少能源消耗；(3)残疾人将能够通过寻找轮椅可到达的路线获得帮助；(4)仓库管理人员将能够减少订单履行时间；(V)服务提供商(如医院、军队、IT)将能够跟踪、派遣和更有效地管理关键劳动力人员(如医生和技术人员)。预计在不久的将来，室内定位将像今天的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该公司的室内定位技术，并将其部署到移动设备上。通过分析和处理智能手机的加速计、蜂窝、磁强计、方位和WiFi传感器数据，可以创建建筑的感觉蓝图。然后，通过结合机器学习、数据挖掘、传感器融合以及统计、跟踪和路径规划算法，可以利用建筑的感觉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：(I)将智能手机的传感器读数转换为感官蓝图的地图服务；(Ii)允许最终用户在智能移动设备上查看他们在建筑物内的位置的本地化服务；(Iii)提供指向兴趣点的路径和转弯方向的导航服务；(Iv)显示用户附近有趣信息的基于位置的服务；(V)显示用户移动或建筑物使用情况的统计信息的行为分析引擎；(6)便利技术传播的一揽子软件。这些服务将部署在服务器-客户端框架内，从而缓解移动设备施加的空间、内存和计算限制。

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.