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Accelerometer-based fall-portent detection algorithm for construction tiling operation
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DOI：10.1016/j.autcon.2017.09.015.png)
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Fall accidents are a major safety issue and a perennial problem in the construction industry. However, few studies have focused on detecting fall portents, identification of which may prevent falls from occurring. This study developed an accelerometer-based fall portent detection system that employed a hierarchical threshold based algorithm. We designed tiling experiments to evaluate the performance of the proposed system. The participants performed the tasks under normal, inebriation, and sleepiness conditions on a scaffold while four accelerometers were attached to their chest, waist, arm, and hand. The results revealed that the traditional threshold-based algorithms had unacceptable accuracies of less than 30.66%. Most false warnings could be attributed to misidentifications of work-related motions. However, the work-related motions had a limited effect on the hierarchical threshold-based algorithm, which exhibited a satisfactory detection rate and accuracy of 76.86% and 79.13%, respectively.
Keyword:
Construction safety
Fall accident, fall portent
Accelerometer
Hierarchical threshold-based algorithm
Tiling experiments
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分享收藏Comparing the physiological and perceptual responses of construction workers (bar benders and bar fixers) in a hot environment.png)
APPLIED ERGONOMICS
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APPLIED ERGONOMICSIF3.4
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