Acoustic signal processing, neural networks, motion capture system, Fourier transform

The aim of this article is to outline possibilities of sound and its physical properties during shooting of moving objects. Attention was devoted to the specific location of a fixed point in the space and time. We present two proposed methods that are based on neural networks. We also proposed appropriate topologies of the systems that depend on the required accuracy, acoustic properties and selected sound technologies. At first, we identified a distance between an active transmitter and a receiver on the basis of sound pulses transmitted from transmitters in the defined domain. After that a neural network uses obtained distances between transmitters and a receiver as its inputs to determine an actual position of the receiver in space. We developed two models, which outcomes are compared in conclusion.