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Correction published on 14 November 2023, see Sensors 2023, 23(22), 9160.
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Review

Augmented Hearing of Auditory Safety Cues for Construction Workers: A Systematic Literature Review

1
Department of Informatics, Ying Wu College of Computing, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA
2
Glenn Department of Civil Engineering, College of Engineering, Computing and Applied Sciences, Clemson University, Lowry Hall, Clemson, SC 29634, USA
3
Department of Civil, Construction and Environmental Engineering, College of Engineering, North Dakota State University, Fargo, ND 58102, USA
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(23), 9135; https://doi.org/10.3390/s22239135
Submission received: 24 October 2022 / Revised: 15 November 2022 / Accepted: 22 November 2022 / Published: 24 November 2022 / Corrected: 14 November 2023
(This article belongs to the Special Issue Machine Learning and Signal Processing Based Acoustic Sensors)

Abstract

Safety-critical sounds at job sites play an essential role in construction safety, but hearing capability is often declined due to the use of hearing protection and the complicated nature of construction noise. Thus, preserving or augmenting the auditory situational awareness of construction workers has become a critical need. To enable further advances in this area, it is necessary to synthesize the state-of-the-art auditory signal processing techniques and their implications for auditory situational awareness (ASA) and to identify future research needs. This paper presents a critical review of recent publications on acoustic signal processing techniques and suggests research gaps that merit further research for fully embracing construction workers’ ASA of hazardous situations in construction. The results from the content analysis show that research on ASA in the context of construction safety is still in its early stage, with inadequate AI-based sound sensing methods available. Little research has been undertaken to augment individual construction workers in recognizing important signals that may be blocked or mixed with complex ambient noise. Further research on auditory situational awareness technology is needed to support detecting and separating important acoustic safety cues from complex ambient sounds. More work is also needed to incorporate context information into sound-based hazard detection and to investigate human factors affecting the collaboration between workers and AI assistants in sensing the safety cues of hazards.
Keywords: Artificial Intelligence (AI); auditory signal processing; hazard detection; auditory situational awareness; construction safety Artificial Intelligence (AI); auditory signal processing; hazard detection; auditory situational awareness; construction safety

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MDPI and ACS Style

Dang, K.; Elelu, K.; Le, T.; Le, C. Augmented Hearing of Auditory Safety Cues for Construction Workers: A Systematic Literature Review. Sensors 2022, 22, 9135. https://doi.org/10.3390/s22239135

AMA Style

Dang K, Elelu K, Le T, Le C. Augmented Hearing of Auditory Safety Cues for Construction Workers: A Systematic Literature Review. Sensors. 2022; 22(23):9135. https://doi.org/10.3390/s22239135

Chicago/Turabian Style

Dang, Khang, Kehinde Elelu, Tuyen Le, and Chau Le. 2022. "Augmented Hearing of Auditory Safety Cues for Construction Workers: A Systematic Literature Review" Sensors 22, no. 23: 9135. https://doi.org/10.3390/s22239135

APA Style

Dang, K., Elelu, K., Le, T., & Le, C. (2022). Augmented Hearing of Auditory Safety Cues for Construction Workers: A Systematic Literature Review. Sensors, 22(23), 9135. https://doi.org/10.3390/s22239135

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