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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Format: | Article |
Language: | English |
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MDPI AG
2023-08-01
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Series: | Journal of Sensor and Actuator Networks |
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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. |
first_indexed | 2024-03-10T23:48:40Z |
format | Article |
id | doaj.art-82ae71f499de4892b05cdc7f177d7f3a |
institution | Directory Open Access Journal |
issn | 2224-2708 |
language | English |
last_indexed | 2024-03-10T23:48:40Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Sensor and Actuator Networks |
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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