Abstract
This paper presents a smartphone application that displays an onscreen alert and emits a vibration if a car horn is triggered in the traffic, aiming to assist hearing impaired people in driving vehicles. The stages of the construction process are detailed and ways of obtaining the sound frequency of a real-time noise with algorithms using Fast Fourier Transform are discussed, as well as the crossing of these with usual frequency ranges in car horns. The paper also discusses the problems faced in the detection of frequency bands in real traffic, related to the Doppler effect. The testing methodology includes simulations and uses the application in a real traffic environment. As a result of this work we obtained a functional application, customizable by the user, capable of detecting automotive horns.
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Acknowledgements
This study was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES), under the Program PROCAD-AMAZÔNIA, process n\(^{\circ }\) 88881.357580/2019-01.
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Dim, C.A., Feitosa, R.M., Mota, M.P., de Morais, J.M. (2020). A Smartphone Application for Car Horn Detection to Assist Hearing-Impaired People in Driving. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12250. Springer, Cham. https://doi.org/10.1007/978-3-030-58802-1_8
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DOI: https://doi.org/10.1007/978-3-030-58802-1_8
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