Measurement and analysis of correlations between WiFi signal and a number of people via machine learning

U ovom radu istražuje se mogućnost predviđanja broja ljudi u danom prostoru kroz jakost Wi-Fi polja u određenim točkama prostora. Predviđanja ostvaruju algoritmi strojnog učenja iz podataka generiranih kroz simulaciju i eksperiment. Iako rezultati na eksperimentalnim podacima nisu zadovoljavajući, istraživanje na podacima iz simulacije daje obećavajuće rezultate s obzirom na to da je najveća točnost predviđanja oko 69%. This paper investigates the possibility of predicting the number of people in a given space through the strength of Wi-Fi signal in certain points of space. Predictions are made by machine learning algorithms from data generated through simulation and experiment. Although the results of the experiment data are not satisfactory, research on simulation data give promising results considering that the highest prediction accuracy is around 69%.