Next Article in Journal
Output Feedback Stabilization of Doubly Fed Induction Generator Wind Turbines under Event-Triggered Implementations
Previous Article in Journal
Extraction of Hidden Authentication Factors from Possessive Information
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JSAN
Volume 12
Issue 4
10.3390/jsan12040063
jsan-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Remote Binaural System (RBS) for Noise Acoustic Monitoring

by
Oscar Acosta
1,
Luis Hermida
2,
Marcelo Herrera
2,*,
Carlos Montenegro
1,
Elvis Gaona
1,
Mateo Bejarano
2,
Kevin Gordillo
1,
Ignacio Pavón
3 and
Cesar Asensio
3
1
Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia
2
Faculty of Engineering, Universidad de San Buenaventura-Bogotá, Bogotá 110141, Colombia
3
Department of Mechanical Engineering, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, 28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
J. Sens. Actuator Netw. 2023, 12(4), 63; https://doi.org/10.3390/jsan12040063
Submission received: 16 June 2023 / Revised: 28 July 2023 / Accepted: 7 August 2023 / Published: 14 August 2023
Browse Figures
Versions Notes

Abstract

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.
Keywords: binaural; prototype; noise monitoring; energetic acoustic indicators; spatial acoustic indicators binaural; prototype; noise monitoring; energetic acoustic indicators; spatial acoustic indicators

Share and Cite

MDPI and ACS Style

Acosta, O.; Hermida, L.; Herrera, M.; Montenegro, C.; Gaona, E.; Bejarano, M.; Gordillo, K.; Pavón, I.; Asensio, C. Remote Binaural System (RBS) for Noise Acoustic Monitoring. J. Sens. Actuator Netw. 2023, 12, 63. https://doi.org/10.3390/jsan12040063

AMA Style

Acosta O, Hermida L, Herrera M, Montenegro C, Gaona E, Bejarano M, Gordillo K, Pavón I, Asensio C. Remote Binaural System (RBS) for Noise Acoustic Monitoring. Journal of Sensor and Actuator Networks. 2023; 12(4):63. https://doi.org/10.3390/jsan12040063

Chicago/Turabian Style

Acosta, Oscar, Luis Hermida, Marcelo Herrera, Carlos Montenegro, Elvis Gaona, Mateo Bejarano, Kevin Gordillo, Ignacio Pavón, and Cesar Asensio. 2023. "Remote Binaural System (RBS) for Noise Acoustic Monitoring" Journal of Sensor and Actuator Networks 12, no. 4: 63. https://doi.org/10.3390/jsan12040063

APA Style

Acosta, O., Hermida, L., Herrera, M., Montenegro, C., Gaona, E., Bejarano, M., Gordillo, K., Pavón, I., & Asensio, C. (2023). Remote Binaural System (RBS) for Noise Acoustic Monitoring. Journal of Sensor and Actuator Networks, 12(4), 63. https://doi.org/10.3390/jsan12040063

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop