dc.contributor.author | Lacey, Gerard | |
dc.contributor.author | LLorca, D.F. | |
dc.contributor.author | Vilarino, F. | |
dc.contributor.author | Zhou, Z. | |
dc.date.accessioned | 2019-10-25T10:26:19Z | |
dc.date.available | 2019-10-25T10:26:19Z | |
dc.date.created | September 2007 | en |
dc.date.issued | 2007 | |
dc.date.submitted | 2007 | en |
dc.identifier.citation | D.F. Llorca, F. Vilarino, Z. Zhou & G. Lacey, A multi-class SVM classifier ensemble for automatic hand washing quality assessment, British Machine Vision Conference, Warwick, September 2007, 10 pages | en |
dc.identifier.other | Y | |
dc.description.abstract | Hand washing is a critical activity in preventing the spread of infection in
health-care environments. Several guidelines recommended a hand washing
protocol consisting of six steps that ensure that all areas of the hands are
thoroughly cleaned. In this paper, we describe a novel approach that uses a
computer vision system to monitor the user’s hands motions in order to ensure
that the hand washing guidelines are followed. This work presents two
main contributions: a description of a system which delivers robust segmentation
of the hands using a combination of colour and motion analysis, and
the implementation of a multi-class classification of the hand gestures using
a SVM ensemble. The system performance is analysed and compared with
human performance, showing an accuracy close to that of human experts. | en |
dc.format.extent | 10 pages | en |
dc.language.iso | en | en |
dc.rights | Y | en |
dc.subject | Handwashing | en |
dc.subject | Hand hygiene | en |
dc.subject | Computer vision | en |
dc.title | A multi-class SVM classifier ensemble for automatic hand washing quality assessment | en |
dc.title.alternative | British Machine Vision Conference | en |
dc.type | Conference Paper | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/gjlacey | |
dc.identifier.rssinternalid | 49921 | |
dc.identifier.doi | http://dx.doi.org/10.5244/c.21.40 | |
dc.rights.ecaccessrights | openAccess | |
dc.identifier.orcid_id | 0000-0002-1923-6852 | |
dc.identifier.uri | http://www.bmva.org/bmvc/2007/papers/paper-223.html | |
dc.identifier.uri | http://hdl.handle.net/2262/89885 | |