Sound Noise Levels Calibration with Smart-phones

Konferenz: European Wireless 2017 - 23th European Wireless Conference
17.05.2017 - 19.05.2017 in Dresden, Germany

Tagungsband: European Wireless 2017

Seiten: 6Sprache: EnglischTyp: PDF

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Torres Espinoza, Felipe (TIVO. EC, Cuenca, Ecuador)
Barros Gavilanes, Gabriel (Universidad del Azuay, Cuenca, Ecuador)

Recent research suggests that there are adverse effects of loud noise on people in urban areas. This makes noise assessment an important concern for policy-makers, urban planners, and citizens in general. Despite the existence of standards for sound noise measurement, there is not a common strategy for data collection over a long period. The purpose of this study is to validate the use of smart-phones to measure noise in the context of a crowdsensing application. Validation will be performed by comparing noise measurements obtained by smart-phones to measurements obtained by using a calibrated Sound Level Meter. We have performed calibration of five models of smart-phones using android Operating System against a calibrated LibeliumWaspmote Smart-Cities device with integrated microphone. Four methods of calibration were tested: Linear Regression, Interpolation Table, Quadratic Regression, and Laplace Transform. The findings show that the RMSE between phone measurements and the calibrated device is higher of 4 dB on a validation data set from a real case. An adaptive calibration method is needed.