{"id":"https://openalex.org/W2138985741","doi":"https://doi.org/10.1109/fuzzy.2010.5584216","title":"Biometric personal authentication by one step foot pressure distribution change by fuzzy artificial immune system","display_name":"Biometric personal authentication by one step foot pressure distribution change by fuzzy artificial immune system","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2138985741","doi":"https://doi.org/10.1109/fuzzy.2010.5584216","mag":"2138985741"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100680390","display_name":"Takahiro Takeda","orcid":"https://orcid.org/0000-0002-9095-3387"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takahiro Takeda","raw_affiliation_strings":["University of Hyogo, Hyogo, Japan","Graduate School of Engineering, University of Hyogo, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101119191","display_name":"Kazuhiko Taniguchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuhiko Taniguchi","raw_affiliation_strings":["Kinden Company Limited, Japan","Kinden Co., Japan"],"affiliations":[{"raw_affiliation_string":"Kinden Company Limited, Japan","institution_ids":[]},{"raw_affiliation_string":"Kinden Co., Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033121119","display_name":"K. Vijayan Asari","orcid":null},"institutions":[{"id":"https://openalex.org/I2800996768","display_name":"Kansai Electric Power (Japan)","ror":"https://ror.org/03xrg8731","country_code":"JP","type":"company","lineage":["https://openalex.org/I2800996768"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunari Asari","raw_affiliation_strings":["Kansai Electric Power Company, Inc., Japan","Kansai Electric Power Co., Inc, Japan"],"affiliations":[{"raw_affiliation_string":"Kansai Electric Power Company, Inc., Japan","institution_ids":["https://openalex.org/I2800996768"]},{"raw_affiliation_string":"Kansai Electric Power Co., Inc, Japan","institution_ids":["https://openalex.org/I2800996768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110264411","display_name":"Kei Kuramoto","orcid":null},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]},{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Kuramoto","raw_affiliation_strings":["WPI Immunology Frontier Research Center, Graduate School of Engineering, Osaka University, Osaka, Japan","Graduate School of Engineering, University of Hyogo, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"WPI Immunology Frontier Research Center, Graduate School of Engineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042142624","display_name":"Syoji Kobashi","orcid":"https://orcid.org/0000-0003-3659-4114"},"institutions":[{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]},{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Syoji Kobashi","raw_affiliation_strings":["WPI Immunology Frontier Research Center, Graduate School of Engineering, Osaka University, Osaka, Japan","Graduate School of Engineering, University of Hyogo, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"WPI Immunology Frontier Research Center, Graduate School of Engineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068575065","display_name":"Yutaka Hata","orcid":"https://orcid.org/0000-0002-7606-6407"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]},{"id":"https://openalex.org/I180941496","display_name":"University of Hyogo","ror":"https://ror.org/0151bmh98","country_code":"JP","type":"education","lineage":["https://openalex.org/I180941496"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Hata","raw_affiliation_strings":["WPI Immunology Frontier Research Center, Graduate School of Engineering, Osaka University, Osaka, Japan","Graduate School of Engineering, University of Hyogo, Hyogo, Japan"],"affiliations":[{"raw_affiliation_string":"WPI Immunology Frontier Research Center, Graduate School of Engineering, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Engineering, University of Hyogo, Hyogo, Japan","institution_ids":["https://openalex.org/I180941496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100680390"],"corresponding_institution_ids":["https://openalex.org/I180941496"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85127735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.994700014591217,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8266652226448059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7084637880325317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6235995888710022},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6153783798217773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5020768642425537},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.49027565121650696},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4798964262008667},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4299241304397583},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4269300103187561},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3569383919239044},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18534624576568604}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8266652226448059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084637880325317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6235995888710022},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6153783798217773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5020768642425537},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.49027565121650696},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4798964262008667},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4299241304397583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4269300103187561},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3569383919239044},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18534624576568604}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1539250641","https://openalex.org/W1966313272","https://openalex.org/W1979856851","https://openalex.org/W2100345224","https://openalex.org/W2104412066","https://openalex.org/W2107676921","https://openalex.org/W2116075344","https://openalex.org/W2130817593","https://openalex.org/W2140959843","https://openalex.org/W2151373013","https://openalex.org/W2154663802","https://openalex.org/W2159444658","https://openalex.org/W6632232448","https://openalex.org/W6675286099","https://openalex.org/W6676119355","https://openalex.org/W6677479569"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W3104966193"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,33,74],"biometric":[4],"personal":[5,34,83],"authentication":[6,84],"method":[7,111],"based":[8,40,49],"on":[9,41,50,63],"one":[10,87],"step":[11,88,104],"foot":[12,19],"pressure":[13,20],"distribution":[14,21,27],"change.":[15],"We":[16,36,96,108,117],"acquire":[17],"the":[18,64,103],"change":[22],"by":[23,73,112],"mat":[24],"type":[25],"load":[26],"sensor":[28],"and":[29,45,100,122,127],"use":[30],"it":[31],"as":[32],"authentication.":[35],"employ":[37],"twelve":[38],"features":[39,48],"shape":[42],"of":[43,52,66],"footprint,":[44],"twenty":[46],"seven":[47],"movement":[51],"weight":[53],"while":[54],"walking.":[55],"A":[56,82],"classifier":[57,70,92],"for":[58,86,93],"each":[59],"feature":[60],"is":[61,71,89],"developed":[62],"basis":[65],"fuzzy":[67],"inference.":[68],"The":[69],"trained":[72],"clonal":[75],"selection":[76],"algorithm":[77],"in":[78,125],"artificial":[79],"immune":[80],"system.":[81],"system":[85],"made":[90],"every":[91],"all":[94],"features.":[95],"employed":[97],"10":[98],"volunteers,":[99],"we":[101],"took":[102],"data":[105],"five":[106],"times.":[107],"evaluated":[109],"our":[110],"five-fold":[113],"cross":[114],"validation":[115],"method.":[116],"obtained":[118],"low":[119],"false":[120],"rejection":[121],"acceptance":[123],"rates":[124],"identification":[126],"verification.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
