{"id":"https://openalex.org/W2974575881","doi":"https://doi.org/10.3390/s19184054","title":"Recurrent Neural Network for Inertial Gait User Recognition in Smartphones","display_name":"Recurrent Neural Network for Inertial Gait User Recognition in Smartphones","publication_year":2019,"publication_date":"2019-09-19","ids":{"openalex":"https://openalex.org/W2974575881","doi":"https://doi.org/10.3390/s19184054","mag":"2974575881","pmid":"https://pubmed.ncbi.nlm.nih.gov/31546976"},"language":"en","primary_location":{"id":"doi:10.3390/s19184054","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19184054","pdf_url":"https://www.mdpi.com/1424-8220/19/18/4054/pdf?version=1568968524","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/18/4054/pdf?version=1568968524","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062460142","display_name":"Pablo Fern\u00e1ndez-L\u00f3pez","orcid":"https://orcid.org/0000-0002-2135-6095"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Pablo Fernandez-Lopez","raw_affiliation_strings":["University Group for ID Technologies (GUTI), University Carlos III of Madrid (UC3M), Av. de la Universidad 30, 28911 Leganes, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Group for ID Technologies (GUTI), University Carlos III of Madrid (UC3M), Av. de la Universidad 30, 28911 Leganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005903868","display_name":"Judith Liu\u2010Jimenez","orcid":"https://orcid.org/0000-0003-1938-0309"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Judith Liu-Jimenez","raw_affiliation_strings":["University Group for ID Technologies (GUTI), University Carlos III of Madrid (UC3M), Av. de la Universidad 30, 28911 Leganes, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Group for ID Technologies (GUTI), University Carlos III of Madrid (UC3M), Av. de la Universidad 30, 28911 Leganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022749721","display_name":"Kiyoshi Kiyokawa","orcid":"https://orcid.org/0000-0003-2260-1707"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoshi Kiyokawa","raw_affiliation_strings":["Cybernetics and Reality Engineering Laboratory (CARE), Nara Institute of Science and Technology (NAIST), 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cybernetics and Reality Engineering Laboratory (CARE), Nara Institute of Science and Technology (NAIST), 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741284","display_name":"Yang Wu","orcid":"https://orcid.org/0000-0003-3903-0111"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yang Wu","raw_affiliation_strings":["International Collaborative Laboratory for Robotics Vision, NAIST, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Collaborative Laboratory for Robotics Vision, NAIST, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009257213","display_name":"Ra\u00fal S\u00e1nchez-Reillo","orcid":"https://orcid.org/0000-0003-4239-985X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raul Sanchez-Reillo","raw_affiliation_strings":["University Group for ID Technologies (GUTI), University Carlos III of Madrid (UC3M), Av. de la Universidad 30, 28911 Leganes, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4239-985X","affiliations":[{"raw_affiliation_string":"University Group for ID Technologies (GUTI), University Carlos III of Madrid (UC3M), Av. de la Universidad 30, 28911 Leganes, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062460142"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.9805,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.85806527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"18","first_page":"4054","last_page":"4054"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8369812965393066},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.7756617069244385},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7402803301811218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7220250368118286},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5639519095420837},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5377590656280518},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5357329845428467},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5340026617050171},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.48720258474349976},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46735548973083496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46244627237319946},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44831162691116333},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.43648505210876465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720630407333374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3536703586578369},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3201841115951538},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14691948890686035},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08987954258918762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07873126864433289}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8369812965393066},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.7756617069244385},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7402803301811218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220250368118286},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5639519095420837},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5377590656280518},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5357329845428467},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5340026617050171},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.48720258474349976},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46735548973083496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46244627237319946},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44831162691116333},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.43648505210876465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720630407333374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3536703586578369},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3201841115951538},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14691948890686035},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08987954258918762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07873126864433289},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/s19184054","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19184054","pdf_url":"https://www.mdpi.com/1424-8220/19/18/4054/pdf?version=1568968524","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31546976","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31546976","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:dnet:earchivo____::93e7af08706227d4839e222718d61d95","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/30488","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6767850","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6767850","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:b1f4271430aa47349dc3a18a105f9364","is_oa":true,"landing_page_url":"https://doaj.org/article/b1f4271430aa47349dc3a18a105f9364","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 18, p 4054 (2019)","raw_type":"article"},{"id":"pmh:oai:e-archivo.uc3m.es:10016/32236","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/32236","pdf_url":null,"source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/doctoralThesis"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/18/4054/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19184054","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19184054","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19184054","pdf_url":"https://www.mdpi.com/1424-8220/19/18/4054/pdf?version=1568968524","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320315716","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320327970","display_name":"Instituto Nacional de Ciberseguridad","ror":null},{"id":"https://openalex.org/F4320333993","display_name":"Microsoft Research Asia","ror":"https://ror.org/0300m5276"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974575881.pdf","grobid_xml":"https://content.openalex.org/works/W2974575881.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W584477714","https://openalex.org/W1497468535","https://openalex.org/W1589193020","https://openalex.org/W1973300387","https://openalex.org/W1986553199","https://openalex.org/W1990254496","https://openalex.org/W1996018374","https://openalex.org/W2000159330","https://openalex.org/W2014047279","https://openalex.org/W2056438097","https://openalex.org/W2070381776","https://openalex.org/W2073939777","https://openalex.org/W2080350448","https://openalex.org/W2092030178","https://openalex.org/W2137604415","https://openalex.org/W2155138139","https://openalex.org/W2169908475","https://openalex.org/W2171062881","https://openalex.org/W2366489887","https://openalex.org/W2558183247","https://openalex.org/W2590203987","https://openalex.org/W2619937264","https://openalex.org/W2724606630","https://openalex.org/W2738221750","https://openalex.org/W2747310555","https://openalex.org/W2756537198","https://openalex.org/W2765195079","https://openalex.org/W2772554154","https://openalex.org/W2783736101","https://openalex.org/W2786638837","https://openalex.org/W2787992637","https://openalex.org/W2789719645","https://openalex.org/W2793298098","https://openalex.org/W2803679146","https://openalex.org/W2896515397","https://openalex.org/W2900796929","https://openalex.org/W2904399478","https://openalex.org/W3102794480","https://openalex.org/W4285719527","https://openalex.org/W6654077957","https://openalex.org/W6685377423","https://openalex.org/W6755113177"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4281646320","https://openalex.org/W4205712847","https://openalex.org/W3169687406","https://openalex.org/W1974336862","https://openalex.org/W4388119537","https://openalex.org/W3014750173","https://openalex.org/W3114025147","https://openalex.org/W4287818966","https://openalex.org/W3192751261"],"abstract_inverted_index":{"In":[0],"this":[1,59],"article,":[2],"a":[3,19,45,63,71,86,160,174],"gait":[4,38],"recognition":[5],"algorithm":[6,32,157,184],"is":[7],"presented":[8],"based":[9],"on":[10,29,85,101,150],"the":[11,23,34,56,76,102,107,128,136,156,183],"information":[12],"obtained":[13],"from":[14],"inertial":[15],"sensors":[16],"embedded":[17,28],"in":[18,21],"smartphone,":[20],"particular,":[22],"accelerometers":[24],"and":[25,92],"gyroscopes":[26],"typically":[27],"them.":[30],"The":[31,80,145],"processes":[33],"signal":[35],"by":[36,70],"extracting":[37],"cycles,":[39],"which":[40],"are":[41,83],"then":[42],"fed":[43],"into":[44],"Recurrent":[46],"Neural":[47],"Network":[48],"(RNN)":[49],"to":[50,74,143,148],"generate":[51],"feature":[52],"vectors.":[53],"To":[54],"optimize":[55],"accuracy":[57],"of":[58,120,127,135],"algorithm,":[60,112],"we":[61,113,154],"apply":[62],"random":[64],"grid":[65],"hyperparameter":[66,78],"selection":[67],"process":[68],"followed":[69],"hand-tuning":[72],"method":[73],"reach":[75,159],"final":[77],"configuration.":[79],"different":[81],"configurations":[82],"tested":[84,100],"public":[87],"database":[88,177],"with":[89,94,124,168,178],"744":[90],"users":[91,137],"compared":[93],"other":[95],"algorithms":[96],"that":[97,140],"were":[98],"previously":[99],"same":[103],"database.":[104],"After":[105],"reaching":[106],"best-performing":[108],"configuration":[109],"for":[110,138],"our":[111],"obtain":[114],"an":[115],"equal":[116],"error":[117],"rate":[118],"(EER)":[119],"11.48%":[121],"when":[122,132],"training":[123],"only":[125],"20%":[126],"users.":[129],"Even":[130],"better,":[131],"using":[133],"70%":[134],"training,":[139],"value":[141],"drops":[142],"7.55%.":[144],"system":[146],"manages":[147],"improve":[149,186],"state-of-the-art":[151],"methods,":[152],"but":[153],"believe":[155],"could":[158,185],"significantly":[161],"better":[162],"performance":[163],"if":[164],"it":[165],"was":[166],"trained":[167],"more":[169],"visits":[170,180],"per":[171,181],"user.":[172],"With":[173],"large":[175],"enough":[176],"several":[179],"user,":[182],"substantially.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}