Key Findings from Research: Improving Construction Workers’ Auditory Awareness of Moving Equipment
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2022/01/01
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English
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Journal Article:Key findings from research
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Description:Struck-by vehicle incidents are a leading cause of fatalities on construction job sites. Previous studies have found that in noisy environments, workers lose the ability to pick out sounds of potential hazards, and this loss of auditory situational awareness can be a critical factor in deadly collisions involving heavy mobile equipment. Although the range of equipment on a job site-including static equipment and hand tools-produces a complicated mix of sounds, advanced computational techniques for auditory signal processing have the potential to improve safety. This study aimed to increase auditory awareness of workers exposed to loud noise with a new hearing protection technology that uses artificial intelligence to both amplify safety-critical sounds and greatly attenuate ambient noise. The researchers proceeded in three phases: (a) collecting audio data of construction equipment, (b) developing a machine learning model for automated detection of collision hazards to be integrated into intelligent hearing protection devices, and (c) conducting field experiments to investigate the system's efficiency and latency. Read the report: https://bit.ly/3xaaYdw. [Description provided by NIOSH]
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Source:Key findings from research. Silver Spring, MD: CPWR-The Center for Construction Research and Training, 2022 Apr; :1
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Pages in Document:1 pdf page
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NIOSHTIC Number:nn:20067586
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Email:tuyenl@clemson.edu
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Federal Fiscal Year:2022
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Performing Organization:CPWR - The Center for Construction Research and Training, Silver Spring, Maryland
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Peer Reviewed:False
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Main Document Checksum:urn:sha-512:d1b57dcb5c6b6360acdd09c004ed4e21aaa99bd081aa0ea7ab81163a7e406b1276b85ab0773102c764a898821c49d0b2d55e095c42b7b7d82df02bd1b6e9669d
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English
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