An Adaptable Approach for Indoor Location

In general people often spend 80-90% of their time in indoor environments, which include shopping malls, libraries, airports, universities, schools, offices, factories, hospitals, among others. In these environments, GPS does not work properly, causing inaccurate positioning. Currently, when performing the location of people or objects in indoor environments, no single technology can reproduce the same results achieved by the GPS for outdoor environments. One of the main reasons for this is the high complexity of indoor environments where, unlike outdoor spaces, there is a series of obstacles such as walls, equipment and even people. Due to this, it is necessary to consider the use of information from multiple sources using different technologies. Thus, this work proposes an adaptable approach for indoor location, which allows the use and combination of different technologies, techniques and methods in this context.