{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T14:38:45Z","timestamp":1775227125226,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2019,7,17]],"date-time":"2019-07-17T00:00:00Z","timestamp":1563321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007434","name":"Ag\u00eancia Nacional de Inova\u00e7\u00e3o","doi-asserted-by":"publisher","award":["NORTE-01-0145-FEDER-000026"],"award-info":[{"award-number":["NORTE-01-0145-FEDER-000026"]}],"id":[{"id":"10.13039\/501100007434","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The increasing popularity of water sports\u2014surfing, in particular\u2014has been raising attention to its yet immature technology market. While several available solutions aim to characterise surf session events, this can still be considered an open issue, due to the low performance, unavailability, obtrusiveness and\/or lack of validation of existing systems. In this work, we propose a novel method for wave, paddle, sprint paddle, dive, lay, and sit events detection in the context of a surf session, which enables its entire profiling with 88.1% accuracy for the combined detection of all events. In particular, waves, the most important surf event, were detected with second precision with an accuracy of 90.3%. When measuring the number of missed and misdetected wave events, out of the entire universe of 327 annotated waves, wave detection performance achieved 97.5% precision and 94.2% recall. These findings verify the precision, validity and thoroughness of the proposed solution in constituting a complete surf session profiling system, suitable for real-time implementation and with market potential.<\/jats:p>","DOI":"10.3390\/s19143138","type":"journal-article","created":{"date-parts":[[2019,7,17]],"date-time":"2019-07-17T02:44:03Z","timestamp":1563331443000},"page":"3138","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Surf Session Events\u2019 Profiling Using Smartphones\u2019 Embedded Sensors"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5617-6126","authenticated-orcid":false,"given":"Diana","family":"Gomes","sequence":"first","affiliation":[{"name":"Fraunhofer Portugal AICOS, 4200-135 Porto, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0719-6096","authenticated-orcid":false,"given":"Dinis","family":"Moreira","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, 4200-135 Porto, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jo\u00e3o","family":"Costa","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, 4200-135 Porto, Portugal"},{"name":"Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3944-607X","authenticated-orcid":false,"given":"Ricardo","family":"Gra\u00e7a","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, 4200-135 Porto, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jo\u00e3o","family":"Madureira","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, 4200-135 Porto, Portugal"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"55","DOI":"10.2165\/00007256-200535010-00005","article-title":"Physiological aspects of surfboard riding performance","volume":"35","author":"Bishop","year":"2005","journal-title":"Sports Med."},{"key":"ref_2","unstructured":"Prnewswire (2018, July 09). 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