{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T09:41:41Z","timestamp":1776850901789,"version":"3.51.2"},"reference-count":115,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Instituci\u00f3n Universitaria Pascual Bravo"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>This overview examines recent advancements in EEG-based biometric identification, focusing on integrating emotional recognition to enhance the robustness and accuracy of biometric systems. By leveraging the unique physiological properties of EEG signals, biometric systems can identify individuals based on neural responses. The overview discusses the influence of emotional states on EEG signals and the consequent impact on biometric reliability. It also evaluates recent emotion recognition techniques, including machine learning methods such as support vector machines (SVMs), convolutional neural networks (CNNs), and long short-term memory networks (LSTMs). Additionally, the role of multimodal EEG datasets in enhancing emotion recognition accuracy is explored. Findings from key studies are synthesized to highlight the potential of EEG for secure, adaptive biometric systems that account for emotional variability. This overview emphasizes the need for future research on resilient biometric identification that integrates emotional context, aiming to establish EEG as a viable component of advanced biometric technologies.<\/jats:p>","DOI":"10.3390\/computers14080299","type":"journal-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T08:02:06Z","timestamp":1753257726000},"page":"299","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["EEG-Based Biometric Identification and Emotion Recognition: An Overview"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6236-1982","authenticated-orcid":false,"given":"Miguel A.","family":"Becerra","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda, Instituci\u00f3n Universitaria Pascual Bravo, Medell\u00edn 050034, Colombia"},{"name":"Facultad de Estudios Empresariales, Instituci\u00f3n Universitaria Esumer, Medell\u00edn 520001, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carolina","family":"Duque-Mejia","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Instituci\u00f3n Universitaria Pascual Bravo, Medell\u00edn 050034, Colombia"},{"name":"Facultad de Estudios Empresariales, Instituci\u00f3n Universitaria Esumer, Medell\u00edn 520001, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3893-1137","authenticated-orcid":false,"given":"Andres","family":"Castro-Ospina","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Instituto Tecnol\u00f3gico Metropolitano, Medell\u00edn 050013, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonardo","family":"Serna-Guar\u00edn","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Instituto Tecnol\u00f3gico Metropolitano, Medell\u00edn 050013, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristian","family":"Mej\u00eda","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Instituto Tecnol\u00f3gico Metropolitano, Medell\u00edn 050013, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8292-7229","authenticated-orcid":false,"given":"Eduardo","family":"Duque-Grisales","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Instituci\u00f3n Universitaria Pascual Bravo, Medell\u00edn 050034, Colombia"},{"name":"Facultad de Estudios Empresariales, Instituci\u00f3n Universitaria Esumer, Medell\u00edn 520001, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,23]]},"reference":[{"key":"ref_1","first-page":"721","article-title":"Data Fusion Applied to Biometric Identification\u2014A Review","volume":"721","author":"Zapata","year":"2017","journal-title":"Adv. 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