2016
DOI: 10.22260/isarc2016/0078
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Audio Signal Processing for Activity Recognition of Construction Heavy Equipment

Abstract: Action recognition and tracking of construction heavy equipment is the first step for benchmarking and analyzing the performance of individual machines and evaluating the productivity of a jobsite as a whole. Aside from direct observations, the current approaches for automatically recognizing and tracking various actions of construction heavy equipment includes: 1) using active sensors such as RFID tags, GPS and accelerometers or 2) computer vision-based activity analysis (processing images or videos).In this … Show more

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Cited by 21 publications
(13 citation statements)
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“…However, since it is necessary to perforate the ground and detect the accident sound in a state where external noise is blocked after perforation, it is difficult to apply due to the characteristics of the construction site since such a wide variety of sounds are generated. Studies monitoring the work status and productivity of heavy equipment through sound analysis seem to have improved the problems of monitoring through the attachment of existing sensors [1] [2]. However, since heavy equipment monitoring only analyzes single machine activity at a distance from external noise, sound analysis is not performed for the construction site.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, since it is necessary to perforate the ground and detect the accident sound in a state where external noise is blocked after perforation, it is difficult to apply due to the characteristics of the construction site since such a wide variety of sounds are generated. Studies monitoring the work status and productivity of heavy equipment through sound analysis seem to have improved the problems of monitoring through the attachment of existing sensors [1] [2]. However, since heavy equipment monitoring only analyzes single machine activity at a distance from external noise, sound analysis is not performed for the construction site.…”
Section: Literature Reviewmentioning
confidence: 99%
“…With the help of previous research studies of field data collection, diverse applications and monitoring technologies such as sensors-and vision-based methods have been investigated to explore their potentials and practicability in the construction industry [1,2]. Recent studies have also identified the implications of the implementation of the audio-based site monitoring technique [3,4]. This study states that sound data not only require less data processing weight for a data analysis than one from vision data, but also have no limitation to capture data with an unlimited level of illumination and scope [3].…”
Section: Introductionmentioning
confidence: 99%
“…Recent studies have also identified the implications of the implementation of the audio-based site monitoring technique [3,4]. This study states that sound data not only require less data processing weight for a data analysis than one from vision data, but also have no limitation to capture data with an unlimited level of illumination and scope [3]. Because of the diverse types of equipment, materials, and work environment, however, it is not practically feasible to establish a comprehensive sound data library covering all sound types of construction work activities in a site.…”
Section: Introductionmentioning
confidence: 99%
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