{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T22:22:10Z","timestamp":1768342930974,"version":"3.49.0"},"reference-count":61,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T00:00:00Z","timestamp":1673308800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Driver identification refers to the process whose primary purpose is identifying the person behind the steering wheel using collected information about the driver him\/herself. The constant monitoring of drivers through sensors generates great benefits in advanced driver assistance systems (ADAS), to learn more about the behavior of road users. Currently, there are many research works that address the subject in search of creating intelligent models that help to identify vehicle users in an efficient and objective way. However, the different methodologies proposed to create these models are based on data generated from sensors that include different vehicle brands on routes established in real environments, which, although they provide very important information for different purposes, in the case of driver identification, there may be a certain degree of bias due to the different situations in which the route environment may change. The proposed method seeks to intelligently and objectively select the most outstanding statistical features from motor activity generated in the main elements of the vehicle with genetic algorithms for driver identification, this process being newer than those established by the state-of-the-art. The results obtained from the proposal were an accuracy of 90.74% to identify two drivers and 62% for four, using a Random Forest Classifier (RFC). With this, it can be concluded that a comprehensive selection of features can greatly optimize the identification of drivers.<\/jats:p>","DOI":"10.3390\/s23020784","type":"journal-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T04:59:58Z","timestamp":1673413198000},"page":"784","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8092-1333","authenticated-orcid":false,"given":"Carlos H.","family":"Espino-Salinas","sequence":"first","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5714-7482","authenticated-orcid":false,"given":"Huizilopoztli","family":"Luna-Garc\u00eda","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6847-3777","authenticated-orcid":false,"given":"Jos\u00e9 M.","family":"Celaya-Padilla","sequence":"additional","affiliation":[{"name":"CONACYT, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7308-6018","authenticated-orcid":false,"given":"Jorge A.","family":"Morgan-Benita","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4168-5117","authenticated-orcid":false,"given":"Cesar","family":"Vera-Vasquez","sequence":"additional","affiliation":[{"name":"Ingenier\u00eda Mecanica, Universidad Continental, Arequipa 04002, Peru"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7903-8316","authenticated-orcid":false,"given":"Wilson J.","family":"Sarmiento","sequence":"additional","affiliation":[{"name":"Ingenier\u00eda en Multimedia, Universidad Militar de Nueva Granada, Cra 11, Bogot\u00e1 101-80, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7635-4687","authenticated-orcid":false,"given":"Carlos E.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge I.","family":"Galv\u00e1n-Tejada","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9498-6602","authenticated-orcid":false,"given":"Hamurabi","family":"Gamboa-Rosales","sequence":"additional","affiliation":[{"name":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, Zacatecas 98000, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8621-7942","authenticated-orcid":false,"given":"Klinge Orlando","family":"Villalba-Condori","sequence":"additional","affiliation":[{"name":"Vicerrectorado de Investigaci\u00f3n, Universidad Cat\u00f3lica de Santa Mar\u00eda, Arequipa 04002, Peru"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Musa, A., Pipicelli, M., Spano, M., Tufano, F., De Nola, F., Di Blasio, G., Gimelli, A., Misul, D.A., and Toscano, G. 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