Utilization of user feedback in indoor positioning system

We propose an interpolation-based fingerprinting technique utilizing user feedback which does not require an exhaustive training phase typically seen in the indoor localization solutions. We argue that the contribution of users’ feedback to any positioning system is two-fold. Firstly, users’ feedback greatly help in fine-tuning an under-trained positioning system with proper filtering. Secondly, if users are well-behaved, our experimental results show that the participation of end-users can actually assist in the construction of a positioning system incrementally from scratch. We also show that user feedback-based positioning system adapts quite well when surroundings change. Our present system is built upon Bluetooth.