An efficent indoor positioning method using machine learning and multiple Wi-Fi acces points

In order to respond to a challenge, we set up a simple but efficient indoor positioning system, using off the shelf Wi-Fi access points (AP). The challenges of level positioning are overcome with a machine learning (ML) algorithm, which takes as input measured levels of multiple APs. Our approach to the problem is trying to solve the voluntary localization of a person within their home or another familiar habitat, in need for medical assistance, and also in the case of an industrial robot within the assembly room of a factory.