API para servicios de localización en interiores basada en tecnología Wi-Fi, Bluetooth, RFID y QRCode

The next generation of mobile services is presumed to be highly adaptive to the user’s personal features and to his environmental, physical and technological condition and subsequent consequences. This ‘context-aware paradigm’, which originates from the vision of ‘ubiquitous computing’ and is supposed to drive the design of future commercial mobile services, still presents a lot of technological, social and business challenges. [Bernardos, 2008]One these challenge is to obtain the position of a user within a specific area.Today there are indoor location systems, which allow determining the position of an object within an area.To achieve its purpose, these systems use pattern recognition techniques such asthermal, visual or electromagnetic pattern recognition. Systems using electromagnetic patterns are the basis of this thesis. in this research report we propose, model, develop and implement methods for indoor location based on signal patterns as Wi-Fi, Bluetooth or RFID.These methods are encoded within an API written in Java.The main chapters of this thesis show the modeling, development and implementation of an API that contains the methods needed to develop indoor location services using a client-server architecture using context evaluation of electromagneticpatterns.In the development of client server architecture has been proposed to the client as mobile device with Wi-Fi interfaces and Bluetooth TM, or an object / individual identified by a passive RFID tag.The last three chapters of this document show the tests performed to obtain the degree of assertiveness of the methods developed in the context of varying signals scenarios.