Indoor positioning can be achieved by many methods, however the existing methods mostly focus on finding an exact location of a person or an object in real time. Even though, in some situations, an application may only need to know that the users are at the same location or not. In this study, we proposed a solution using ambient noise to detect indoor positioning. Using smartphone microphones, there is a possibility to find the proximity of two objects but with some limitations. The results show that the speed of gaining result is fast in an environment with a distinct sound, such as a song or environmental tone. The limitation mostly occurs from microphone hardware sensitivity of smartphones can cause the ambient noise perceived from the two voice receivers are too different.

Tuul Triyason

Hiroaki Morino