Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit


Source: Automation in Construction, 2016, Vol 68 p. 194-202

Follow this link for the abstract

Date of publication: August 2016

Publication type: Journal article

In a nutshell: Accidental falls are the leading cause of injury and death in construction work. Near misses can provide valuable data about the causes as a proactive prevention measure, but collecting information can be challenging. This study aims to develop a method to automatically collect such data using wearable inertial measurement units, which could ultimately prevent fall accidents.

Length of publication: 8 pages

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