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On-Site Construction Worker Activity Monitoring Using Deep Learning
Publisher: American Society of Civil Engineers
Abstract: AbstractLow productivity in the construction industry compared with other sectors is a longstanding
concern. Traditionally, managers have relied on manual sampling of worker activities
by monitoring task types and durations ...
Construction Labor Activity Recognition via an IMU-Implemented Wristband
Publisher: American Society of Civil Engineers
Abstract: AbstractHuman labor is a pivotal element in determining project costs and overall success
within the construction industry, necessitating robust monitoring of workers’ productivity,
well-being, and the cultivation of a ...
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