Publication

Automatic detection of hand hygiene using computer vision technology

Alexandre Massoud Alahi
2020
Journal Articles

Abstract

Hand hygiene is essential for preventing hospital-acquired infections but is difficult to accurately track. The gold-standard (human auditors) is insufficient for assessing true overall compliance. Computer vision technology has the ability to perform more accurate appraisals. Our primary objective was to evaluate if a computer vision algorithm could accurately observe hand hygiene dispenser use in images captured by depth sensors.

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Automatic detection of hand hygiene using computer vision technology

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