{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T13:30:48Z","timestamp":1782826248735,"version":"3.54.5"},"reference-count":26,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,5,7]],"date-time":"2023-05-07T00:00:00Z","timestamp":1683417600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Polytechnic University of Pachuca"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The work carried out in this paper consists of the classification of the physiological signal generated by eye movement called Electrooculography (EOG). The human eye performs simultaneous movements, when focusing on an object, generating a potential change in origin between the retinal epithelium and the cornea and modeling the eyeball as a dipole with a positive and negative hemisphere. Supervised learning algorithms were implemented to classify five eye movements; left, right, down, up and blink. Wavelet Transform was used to obtain information in the frequency domain characterizing the EOG signal with a bandwidth of 0.5 to 50 Hz; training results were obtained with the implementation of K-Nearest Neighbor (KNN) 69.4%, a Support Vector Machine (SVM) of 76.9% and Decision Tree (DT) 60.5%, checking the accuracy through the Jaccard index and other metrics such as the confusion matrix and ROC (Receiver Operating Characteristic) curve. As a result, the best classifier for this application was the SVM with Jaccard Index.<\/jats:p>","DOI":"10.3390\/s23094553","type":"journal-article","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T03:00:28Z","timestamp":1683514828000},"page":"4553","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["EOG Signal Classification with Wavelet and Supervised Learning Algorithms KNN, SVM and DT"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2965-8995","authenticated-orcid":false,"given":"Sandy Nohemy","family":"Hern\u00e1ndez P\u00e9rez","sequence":"first","affiliation":[{"name":"Master\u2019s Degree in Information and Communications Technologies, Universidad Polit\u00e9cnica de Pachuca (UPP), Zempoala 43830, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco David","family":"P\u00e9rez Reynoso","sequence":"additional","affiliation":[{"name":"Center for Research, Innovation and Technological Development UVM (CIIDETEC-UVM), Universidad del Valle de M\u00e9xico, Quer\u00e9taro 76230, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos Alberto Gonz\u00e1lez","family":"Guti\u00e9rrez","sequence":"additional","affiliation":[{"name":"Center for Research, Innovation and Technological Development UVM (CIIDETEC-UVM), Universidad del Valle de M\u00e9xico, Quer\u00e9taro 76230, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4407-1495","authenticated-orcid":false,"given":"Mar\u00eda De los \u00c1ngeles","family":"Cos\u00edo Le\u00f3n","sequence":"additional","affiliation":[{"name":"Direction of Research, Innovation and Graduate Studies, Universidad Polit\u00e9cnica de Pachuca (UPP), Zempoala 43830, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1947-2169","authenticated-orcid":false,"given":"Roc\u00edo","family":"Ortega Palacios","sequence":"additional","affiliation":[{"name":"Master\u2019s Degree in Information and Communications Technologies, Universidad Polit\u00e9cnica de Pachuca (UPP), Zempoala 43830, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"P\u00e9rez-Reynoso, F.D., Rodr\u00edguez-Guerrero, L., Salgado-Ram\u00edrez, J.C., and Ortega-Palacios, R. 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