標題: A feasibility study of using smartphone built-in accelerometers to detect fall portents
作者: Dzeng, Ren-Jye
Fang, Yi-Cho
Chen, I-Chung
土木工程學系
Department of Civil Engineering
關鍵字: Smartphone;Accelerometer;Fall detection;Portent;Threshold algorithm;Construction safety
公開日期: 1-Mar-2014
摘要: Fall accidents contribute to nearly half of all fatalities in the construction industry in Taiwan. Detecting fall portents using a smartphone, which many people carry daily, may help reduce fall accidents if the accuracy is acceptable. We designed two experiments with three algorithms to evaluate how well a smartphone can detect both falls and fall portents in a tiling operation scenario. The experiments show that work-related motions barely affected the detection of falls, and the result had a sensitivity and specificity of 100% and 96.1%, respectively. However, for detecting portents, the work-related motions had quite a large impact on the gyroscope-based algorithm, which demonstrated an accuracy rate of only 4.3%, but had only limited impact on the accelerometer-based algorithm, which still show acceptable accuracy rates of 73.5% and 88.5%. We conclude that using a smartphone to detect falls and portents in a construction site is feasible. (C) 2013 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.autcon.2013.11.004
http://hdl.handle.net/11536/23993
ISSN: 0926-5805
DOI: 10.1016/j.autcon.2013.11.004
期刊: AUTOMATION IN CONSTRUCTION
Volume: 38
Issue: 
起始頁: 74
結束頁: 86
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