標題: Accelerometer-based fall-portent detection algorithm for construction tiling operation
作者: Fang, Yi-Cho
Dzeng, Ren-Jye
土木工程學系
Department of Civil Engineering
關鍵字: Construction safety;Fall accident, fall portent;Accelerometer;Hierarchical threshold-based algorithm;Tiling experiments
公開日期: 1-Dec-2017
摘要: 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.
URI: http://dx.doi.org/10.1016/j.autcon.2017.09.015
http://hdl.handle.net/11536/143971
ISSN: 0926-5805
DOI: 10.1016/j.autcon.2017.09.015
期刊: AUTOMATION IN CONSTRUCTION
Volume: 84
起始頁: 214
結束頁: 230
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