dc.contributor.author | De Waele, Timo | |
dc.contributor.author | Shahid, Adnan | |
dc.contributor.author | Peralta, Daniel | |
dc.contributor.author | Eerdekens, Anniek | |
dc.contributor.author | Deruyck, Margot | |
dc.contributor.author | Tuyttens, FAM | |
dc.contributor.author | De Poorter, Eli | |
dc.date.accessioned | 2023-08-24T11:48:35Z | |
dc.date.available | 2023-07-27T09:43:36Z | |
dc.date.available | 2023-08-24T11:48:35Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1530-437X | |
dc.identifier.other | WOS:001003468000073 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/42202.2 | |
dc.source | WOS | |
dc.title | Time-Series-Based Feature Selection and Clustering for Equine Activity Recognition Using Accelerometers | |
dc.type | Journal article | |
dc.contributor.imecauthor | De Waele, Timo | |
dc.contributor.imecauthor | Shahid, Adnan | |
dc.contributor.imecauthor | Peralta, Daniel | |
dc.contributor.imecauthor | Eerdekens, Anniek | |
dc.contributor.imecauthor | Deruyck, Margot | |
dc.contributor.imecauthor | De Poorter, Eli | |
dc.contributor.orcidext | Shahid, Adnan::0000-0003-1943-6261 | |
dc.contributor.orcidext | Peralta, Daniel::0000-0002-7544-8411 | |
dc.contributor.orcidext | Eerdekens, Anniek::0000-0001-9544-4904 | |
dc.contributor.orcidext | Deruyck, Margot::0000-0002-0816-6465 | |
dc.contributor.orcidimec | De Waele, Timo::0000-0001-6518-9834 | |
dc.contributor.orcidimec | Shahid, Adnan::0000-0003-1943-6261 | |
dc.contributor.orcidimec | Peralta, Daniel::0000-0002-7544-8411 | |
dc.contributor.orcidimec | Eerdekens, Anniek::0000-0001-9544-4904 | |
dc.contributor.orcidimec | Deruyck, Margot::0000-0002-0816-6465 | |
dc.contributor.orcidimec | De Poorter, Eli::0000-0002-0214-5751 | |
dc.date.embargo | 2023-04-14 | |
dc.identifier.doi | 10.1109/JSEN.2023.3265811 | |
dc.source.numberofpages | 14 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 11855 | |
dc.source.endpage | 11868 | |
dc.source.journal | IEEE SENSORS JOURNAL | |
dc.source.issue | 11 | |
dc.source.volume | 23 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This work was executed within the imec.icon project Hoof-MATE, a research project bringing together academic researchers and industry partners. The Hoof-MATE project was co-financed by imec and received project support from Flanders Innovation & Entrepreneurship under Project HBC.2018.0536. | |