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research article

Automatic detection of hand hygiene using computer vision technology

Singh, Amit
•
Haque, Albert
•
Alahi, Alexandre  
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2020
Journal of the American Medical Informatics Association

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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ocaa115.pdf

Type

Publisher's Version

Version

http://purl.org/coar/version/c_970fb48d4fbd8a85

Access type

openaccess

License Condition

CC BY-NC

Size

243.34 KB

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Adobe PDF

Checksum (MD5)

70cd37d919f5c9efaf10875f8fa409b5

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