We captured 3-dimensional accelerometry data from the wrists of 116 healthcare professionals as they performed hand hygiene (HH). We then used these data to train a k-nearest-neighbors classifier to recognize specific aspects of HH technique (ie, fingertip scrub) and measure the duration of HH events.

Download full-text PDF

Source
http://dx.doi.org/10.1086/678059DOI Listing

Publication Analysis

Top Keywords

hand hygiene
8
electronic recognition
4
recognition hand
4
hygiene technique
4
technique duration
4
duration captured
4
captured 3-dimensional
4
3-dimensional accelerometry
4
accelerometry data
4
data wrists
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!