Designing a Heterogeneous Indoor Location Services Framework

在过去十年中，智能手机的使用和移动的计算呈指数级增长， 对准确和及时的室内定位服务的要求进行调查并使之标准化。此类服务 可以帮助第一响应者在大型公共场所更快地定位无行为能力的人， 有效和有针对性的广告，甚至监督和指导老年人，使他们在他们的生活中活得更长。 自己的家 许多当前技术能够单独或协同地产生粒度室内位置数据， 智能手机可以用来可靠和有效地确定其位置的情况下， 不可用或不可靠（包括但不限于Wi-Fi、RFID和蓝牙）。 谢里丹学院的应用计算学院和TELUS提议合作调查各种 方法，重点是开发一个框架，以创建和提高的可靠性和分辨率 通过概念验证原型提供异构微位置服务。社会效益和经济效益 通过增强和丰富现代智能手机的生活体验， 公共和私人室内空间的用户。

The exponential increase in smartphone usage and mobile computing in the last decade has necessitated a basic requirement for accurate and timely indoor location services to be investigated and standardized. Such services might assist first responders in locating incapacitated people more quickly in large public spaces, enable more effective and targeted advertising, and even monitor and direct the elderly so that they may live longer in their own homes. A number of current technologies are able to produce granular indoor location data, alone or in concert, which a smartphone could use to reliably and efficiently determine its location in cases where satellite data is unavailable or unreliable (including, but not limited to, Wi-Fi, RFID, and Bluetooth). Sheridan College's School of Applied Computing and TELUS propose to collaborate to investigate various methods with a focus on developing a framework to create and improve the reliability and resolution of heterogeneous micro-location services through proof-of-concept prototypes. Social and economic benefits are anticipated outcomes of this research by augmenting and enriching life experiences for modern smartphone users in public and private indoor spaces.