Remote Binaural System (RBS) for Noise Acoustic Monitoring

The recent emergence of advanced information technologies such as cloud computing, artificial intelligence, and data science has improved and optimized various processes in acoustics with potential real-world applications. Noise monitoring tasks on large terrains can be captured using an array of so...

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Main Authors: Oscar Acosta, Luis Hermida, Marcelo Herrera, Carlos Montenegro, Elvis Gaona, Mateo Bejarano, Kevin Gordillo, Ignacio Pavón, Cesar Asensio
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Journal of Sensor and Actuator Networks
Subjects:
Online Access:https://www.mdpi.com/2224-2708/12/4/63
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author Oscar Acosta
Luis Hermida
Marcelo Herrera
Carlos Montenegro
Elvis Gaona
Mateo Bejarano
Kevin Gordillo
Ignacio Pavón
Cesar Asensio
author_facet Oscar Acosta
Luis Hermida
Marcelo Herrera
Carlos Montenegro
Elvis Gaona
Mateo Bejarano
Kevin Gordillo
Ignacio Pavón
Cesar Asensio
author_sort Oscar Acosta
collection DOAJ
description The recent emergence of advanced information technologies such as cloud computing, artificial intelligence, and data science has improved and optimized various processes in acoustics with potential real-world applications. Noise monitoring tasks on large terrains can be captured using an array of sound level meters. However, current monitoring systems only rely on the knowledge of a singular measured value related to the acoustic energy of the captured signal, leaving aside spatial aspects that complement the perception of noise by the human being. This project presents a system that performs binaural measurements according to subjective human perception. The acoustic characterization in an anechoic chamber is presented, as well as acoustic indicators obtained in the field initially for a short period of time. The main contribution of this work is the construction of a binaural prototype that resembles the human head and which transmits and processes acoustical data on the cloud. The above allows noise level monitoring via binaural hearing rather than a singular capturing device. Likewise, it can be highlighted that the system allows for obtaining spatial acoustic indicators based on the interaural cross-correlation function (IACF), as well as detecting the location of the source on the azimuthal plane.
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spelling doaj.art-82ae71f499de4892b05cdc7f177d7f3a2023-11-19T01:49:58ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082023-08-011246310.3390/jsan12040063Remote Binaural System (RBS) for Noise Acoustic MonitoringOscar Acosta0Luis Hermida1Marcelo Herrera2Carlos Montenegro3Elvis Gaona4Mateo Bejarano5Kevin Gordillo6Ignacio Pavón7Cesar Asensio8Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, ColombiaFaculty of Engineering, Universidad de San Buenaventura-Bogotá, Bogotá 110141, ColombiaFaculty of Engineering, Universidad de San Buenaventura-Bogotá, Bogotá 110141, ColombiaFacultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, ColombiaFacultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, ColombiaFaculty of Engineering, Universidad de San Buenaventura-Bogotá, Bogotá 110141, ColombiaFacultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, ColombiaDepartment of Mechanical Engineering, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainDepartment of Mechanical Engineering, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, SpainThe recent emergence of advanced information technologies such as cloud computing, artificial intelligence, and data science has improved and optimized various processes in acoustics with potential real-world applications. Noise monitoring tasks on large terrains can be captured using an array of sound level meters. However, current monitoring systems only rely on the knowledge of a singular measured value related to the acoustic energy of the captured signal, leaving aside spatial aspects that complement the perception of noise by the human being. This project presents a system that performs binaural measurements according to subjective human perception. The acoustic characterization in an anechoic chamber is presented, as well as acoustic indicators obtained in the field initially for a short period of time. The main contribution of this work is the construction of a binaural prototype that resembles the human head and which transmits and processes acoustical data on the cloud. The above allows noise level monitoring via binaural hearing rather than a singular capturing device. Likewise, it can be highlighted that the system allows for obtaining spatial acoustic indicators based on the interaural cross-correlation function (IACF), as well as detecting the location of the source on the azimuthal plane.https://www.mdpi.com/2224-2708/12/4/63binauralprototypenoise monitoringenergetic acoustic indicatorsspatial acoustic indicators
spellingShingle Oscar Acosta
Luis Hermida
Marcelo Herrera
Carlos Montenegro
Elvis Gaona
Mateo Bejarano
Kevin Gordillo
Ignacio Pavón
Cesar Asensio
Remote Binaural System (RBS) for Noise Acoustic Monitoring
Journal of Sensor and Actuator Networks
binaural
prototype
noise monitoring
energetic acoustic indicators
spatial acoustic indicators
title Remote Binaural System (RBS) for Noise Acoustic Monitoring
title_full Remote Binaural System (RBS) for Noise Acoustic Monitoring
title_fullStr Remote Binaural System (RBS) for Noise Acoustic Monitoring
title_full_unstemmed Remote Binaural System (RBS) for Noise Acoustic Monitoring
title_short Remote Binaural System (RBS) for Noise Acoustic Monitoring
title_sort remote binaural system rbs for noise acoustic monitoring
topic binaural
prototype
noise monitoring
energetic acoustic indicators
spatial acoustic indicators
url https://www.mdpi.com/2224-2708/12/4/63
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AT elvisgaona remotebinauralsystemrbsfornoiseacousticmonitoring
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