{"id":"https://openalex.org/W2787442940","doi":"https://doi.org/10.1109/ice.2017.8279940","title":"Affective state aware biometric recognition","display_name":"Affective state aware biometric recognition","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2787442940","doi":"https://doi.org/10.1109/ice.2017.8279940","mag":"2787442940"},"language":"en","primary_location":{"id":"doi:10.1109/ice.2017.8279940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ice.2017.8279940","pdf_url":null,"source":{"id":"https://openalex.org/S4306498191","display_name":"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)","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/A5109397355","display_name":"Anastasios Drosou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Anastasios Drosou","raw_affiliation_strings":["Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000523843","display_name":"Dimitrios Giakoumis","orcid":"https://orcid.org/0000-0003-1844-186X"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Giakoumis","raw_affiliation_strings":["Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087452615","display_name":"Dimitrios Tzovaras","orcid":"https://orcid.org/0000-0001-6915-6722"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Tzovaras","raw_affiliation_strings":["Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109397355"],"corresponding_institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"],"apc_list":null,"apc_paid":null,"fwci":0.4156,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59146341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"58","issue":null,"first_page":"601","last_page":"610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.816715657711029},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7443375587463379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281227469444275},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5880870223045349},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.5509728789329529},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4873109757900238},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.48255008459091187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47711876034736633},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.44514837861061096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42623692750930786},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4193839132785797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40076586604118347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13154831528663635}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.816715657711029},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7443375587463379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281227469444275},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5880870223045349},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.5509728789329529},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4873109757900238},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.48255008459091187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47711876034736633},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.44514837861061096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42623692750930786},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4193839132785797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40076586604118347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13154831528663635},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ice.2017.8279940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ice.2017.8279940","pdf_url":null,"source":{"id":"https://openalex.org/S4306498191","display_name":"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W96432140","https://openalex.org/W1481193933","https://openalex.org/W1588233835","https://openalex.org/W1639795441","https://openalex.org/W1729254925","https://openalex.org/W1974975426","https://openalex.org/W1977401527","https://openalex.org/W1992114466","https://openalex.org/W1992220050","https://openalex.org/W2004960087","https://openalex.org/W2041216379","https://openalex.org/W2042768254","https://openalex.org/W2046720941","https://openalex.org/W2081758006","https://openalex.org/W2084397606","https://openalex.org/W2086516619","https://openalex.org/W2106497574","https://openalex.org/W2106508100","https://openalex.org/W2120089324","https://openalex.org/W2125097298","https://openalex.org/W2125838338","https://openalex.org/W2126818868","https://openalex.org/W2128521063","https://openalex.org/W2136276872","https://openalex.org/W2136964982","https://openalex.org/W2140959843","https://openalex.org/W2144545035","https://openalex.org/W2148082513","https://openalex.org/W2159679173","https://openalex.org/W2171801645","https://openalex.org/W2487561337","https://openalex.org/W4230579564","https://openalex.org/W4243389190","https://openalex.org/W6637529493","https://openalex.org/W6679117816"],"related_works":["https://openalex.org/W3080495370","https://openalex.org/W4285597148","https://openalex.org/W2901531394","https://openalex.org/W4321599321","https://openalex.org/W1559262936","https://openalex.org/W2134707158","https://openalex.org/W2767348466","https://openalex.org/W2894458059","https://openalex.org/W2141728578","https://openalex.org/W4386211155"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"the":[3,13,24,30,34,47,58,69,75,79,90,97,104,138,145],"influence":[4],"of":[5,17,29,33,52,81,92,99,133],"differentiations":[6],"in":[7,50,144],"emotional":[8],"and":[9,27,55,83,101],"physical":[10],"states":[11,98],"on":[12,78,130],"user":[14,36],"recognition":[15,48,76,146],"potential":[16],"activity-related":[18],"biometric":[19],"methods.":[20],"In":[21],"this":[22,93],"respect,":[23],"efficient":[25],"anticipation":[26],"modelling":[28],"affective":[31,82,116],"state":[32],"average":[35],"is":[37,65,95],"attempted":[38],"herein,":[39],"so":[40,111],"as":[41,112],"to":[42,46,113],"provide":[43],"valuable":[44],"information":[45],"process":[49],"terms":[51],"both":[53],"accuracy":[54],"robustness.":[56],"Following":[57],"corresponding":[59],"findings,":[60],"a":[61,87,131],"novel":[62],"probabilistic":[63],"framework":[64,106,125],"proposed":[66,105,124],"for":[67],"compensating":[68],"falsely":[70],"rejection":[71],"decisions":[72],"by":[73],"enhancing":[74],"performance":[77],"basis":[80],"corporal":[84],"indicators.":[85],"As":[86],"starting":[88],"point,":[89],"focus":[91],"research":[94],"over":[96],"stress":[100],"fatigue,":[102],"however":[103],"can":[107],"be":[108],"easily":[109],"extended":[110],"include":[114],"further":[115],"indicators,":[117],"if":[118],"uncorrelated":[119],"with":[120],"each":[121],"other.":[122],"The":[123],"has":[126],"been":[127],"experimentally":[128],"validated":[129],"dataset":[132],"25":[134],"real":[135],"subjects,":[136],"while":[137],"final":[139],"outcomes":[140],"exhibit":[141],"significant":[142],"advances":[143],"performance.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}