{"id":"https://openalex.org/W4385232140","doi":"https://doi.org/10.15276/aait.06.2023.8","title":"Estimation psychophysiological state via nonlinear dynamic integral models","display_name":"Estimation psychophysiological state via nonlinear dynamic integral models","publication_year":2023,"publication_date":"2023-07-23","ids":{"openalex":"https://openalex.org/W4385232140","doi":"https://doi.org/10.15276/aait.06.2023.8"},"language":"en","primary_location":{"id":"doi:10.15276/aait.06.2023.8","doi":"https://doi.org/10.15276/aait.06.2023.8","is_oa":true,"landing_page_url":"https://doi.org/10.15276/aait.06.2023.8","pdf_url":"https://aait.od.ua/index.php/journal/article/download/180/216/412","source":{"id":"https://openalex.org/S4210199081","display_name":"Applied Aspects of Information Technology","issn_l":"2617-4316","issn":["2617-4316","2663-7723"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Aspects of Information Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aait.od.ua/index.php/journal/article/download/180/216/412","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060481957","display_name":"Vitaliy D. Pavlenko","orcid":"https://orcid.org/0000-0002-5655-4171","observed_orcids":["https://orcid.org/0000-0002-5655-4171"]},"institutions":[{"id":"https://openalex.org/I40179345","display_name":"Odes\u0430 Polytechnic National University","ror":"https://ror.org/05xaz0w84","country_code":"UA","type":"education","lineage":["https://openalex.org/I40179345"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vitaliy D. Pavlenko","raw_affiliation_strings":[") Odessa Polytechnic National University, 1, Shevchenko Ave. Odessa, 65044, Ukraine",") \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041e\u0434\u0435\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Odessa Polytechnic National University, 1, Shevchenko Ave. Odessa, 65044, Ukraine","institution_ids":["https://openalex.org/I40179345"]},{"raw_affiliation_string":") \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041e\u0434\u0435\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb,","institution_ids":["https://openalex.org/I40179345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034569682","display_name":"Tetiana V. Shamanina","orcid":"https://orcid.org/0000-0002-3857-1867","observed_orcids":["https://orcid.org/0000-0002-3857-1867"]},"institutions":[{"id":"https://openalex.org/I40179345","display_name":"Odes\u0430 Polytechnic National University","ror":"https://ror.org/05xaz0w84","country_code":"UA","type":"education","lineage":["https://openalex.org/I40179345"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Tetiana V. Shamanina","raw_affiliation_strings":[") Odessa Polytechnic National University, 1, Shevchenko Ave. Odessa, 65044, Ukraine",") \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041e\u0434\u0435\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Odessa Polytechnic National University, 1, Shevchenko Ave. Odessa, 65044, Ukraine","institution_ids":["https://openalex.org/I40179345"]},{"raw_affiliation_string":") \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041e\u0434\u0435\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb,","institution_ids":["https://openalex.org/I40179345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013781855","display_name":"Vladislav Chori","orcid":"https://orcid.org/0000-0001-7823-8383","observed_orcids":["https://orcid.org/0000-0001-7823-8383"]},"institutions":[{"id":"https://openalex.org/I40179345","display_name":"Odes\u0430 Polytechnic National University","ror":"https://ror.org/05xaz0w84","country_code":"UA","type":"education","lineage":["https://openalex.org/I40179345"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vlad\u0443slav V. Chori","raw_affiliation_strings":[") Odessa Polytechnic National University, 1, Shevchenko Ave. Odessa, 65044, Ukraine",") \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041e\u0434\u0435\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":") Odessa Polytechnic National University, 1, Shevchenko Ave. Odessa, 65044, Ukraine","institution_ids":["https://openalex.org/I40179345"]},{"raw_affiliation_string":") \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041e\u0434\u0435\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb,","institution_ids":["https://openalex.org/I40179345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40179345"],"apc_list":null,"apc_paid":null,"fwci":0.238,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49445199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"6","issue":"2","first_page":"117","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.6083999872207642,"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"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.6083999872207642,"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"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.32910001277923584,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.01640000008046627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fatigue-detection","display_name":"fatigue detection","score":0.7250000238418579},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"eye tracking","score":0.7649999856948853},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.6690000295639038},{"id":"https://openalex.org/keywords/bayesian-classifier","display_name":"Bayesian classifier","score":0.8849999904632568},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.7329999804496765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5873556733131409},{"id":"https://openalex.org/C2776640315","wikidata":"https://www.wikidata.org/wiki/Q7315941","display_name":"Respondent","level":2,"score":0.5766271948814392},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.5701985955238342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3643874228000641},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3485814929008484},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15276/aait.06.2023.8","doi":"https://doi.org/10.15276/aait.06.2023.8","is_oa":true,"landing_page_url":"https://doi.org/10.15276/aait.06.2023.8","pdf_url":"https://aait.od.ua/index.php/journal/article/download/180/216/412","source":{"id":"https://openalex.org/S4210199081","display_name":"Applied Aspects of Information Technology","issn_l":"2617-4316","issn":["2617-4316","2663-7723"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Aspects of Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.15276/aait.06.2023.8","doi":"https://doi.org/10.15276/aait.06.2023.8","is_oa":true,"landing_page_url":"https://doi.org/10.15276/aait.06.2023.8","pdf_url":"https://aait.od.ua/index.php/journal/article/download/180/216/412","source":{"id":"https://openalex.org/S4210199081","display_name":"Applied Aspects of Information Technology","issn_l":"2617-4316","issn":["2617-4316","2663-7723"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Aspects of Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46810001134872437}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316854","display_name":"Politechnika Lubelska","ror":"https://ror.org/024zjzd49"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385232140.pdf","grobid_xml":"https://content.openalex.org/works/W4385232140.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2016123440","https://openalex.org/W2064170923","https://openalex.org/W2077307132","https://openalex.org/W2121402967","https://openalex.org/W2475642042","https://openalex.org/W2752362314","https://openalex.org/W2768469913","https://openalex.org/W2768515417","https://openalex.org/W2769472263","https://openalex.org/W2783887164","https://openalex.org/W2888728157","https://openalex.org/W2918533547","https://openalex.org/W2967192873","https://openalex.org/W3000266985","https://openalex.org/W3088291138","https://openalex.org/W3126248789","https://openalex.org/W3127557375","https://openalex.org/W3189093231","https://openalex.org/W3204339337","https://openalex.org/W4211189621","https://openalex.org/W4225007688","https://openalex.org/W4283121288","https://openalex.org/W4382403106"],"related_works":["https://openalex.org/W4313363309","https://openalex.org/W4415018717","https://openalex.org/W7123611907","https://openalex.org/W4387673895","https://openalex.org/W4322746752","https://openalex.org/W2970024268","https://openalex.org/W7163388199","https://openalex.org/W2752362314","https://openalex.org/W6922364718","https://openalex.org/W3088291138"],"abstract_inverted_index":{"The":[0],"method":[1,281],"of":[2,6,46,55,63,67,76,86,92,96,102,109,118,146,152,160,164,180,187,199,204,215,228,234,239,246,249,257,271,274,282,293,295,304,309,312,318,325,328,346,360,366,389],"experimental":[3,392],"research":[4,285],"\"input-output\"":[5,65],"the":[7,31,38,44,53,56,60,64,68,74,77,83,87,93,97,103,110,116,124,127,131,135,150,161,177,181,185,192,205,213,216,229,235,269,272,280,291,305,310,313,323,332,340,347,355,362,375,387],"human":[8],"oculo-motor":[9,21,57,70,104,112,182,236],"system":[10,22,71,105,113,183],"was":[11,277,334],"developed":[12],"and":[13,89,99,129,158,168,208,225,260,342,357,391],"implemented":[14],"using":[15,223,252,279],"innovative":[16],"eye-tracking":[17,381],"technology":[18,155],"for":[19,156,171,201],"recording":[20],"responses":[23],"to":[24,43,59,114,243,268,373],"test":[25],"visual":[26],"stimuli.Stimuli":[27],"are":[28,141,221,241],"displayed":[29],"on":[30,176,212,331],"monitor":[32],"screen":[33],"at":[34,52],"different":[35,50,302,319,326],"distances":[36],"from":[37,380],"starting":[39],"position.This":[40],"formally":[41],"corresponds":[42],"action":[45],"step":[47],"signals":[48],"with":[49,73,339],"amplitudes":[51],"input":[54],"system.According":[58],"empirical":[61],"data":[62,148,179,200,240,382],"studies":[66,108,385],"respondent's":[69,111],"obtained":[72,137,230,288,379],"aid":[75],"Tobii":[78],"Pro":[79],"TX300":[80],"eye":[81],"tracker,":[82],"transient":[84,94,139,189,232,377],"functions":[85,95,140,190,233,378],"first":[88],"diagonal":[90],"intersections":[91],"second":[98],"third":[100],"orders":[101],"were":[106,120,210,287,351],"determined.Experimental":[107],"identify":[115],"state":[117,163,364],"fatigue":[119],"carried":[121,335],"out":[122],"before":[123],"beginning":[125],"(in":[126,134],"morning)":[128],"after":[130],"working":[132],"day":[133],"evening).The":[136],"multidimensional":[138,188,231,376],"used":[142,242],"as":[143],"a":[144,165,367],"source":[145],"primary":[147],"in":[149,184,191,265,301,383,386],"implementation":[151],"intelligent":[153],"information":[154],"diagnosis":[157],"monitoring":[159],"psychophysiological":[162,247,363],"person.Instrumental":[166],"algorithmic":[167],"software":[169],"tools":[170],"determining":[172],"diagnostic":[173,384],"features":[174,259,333],"based":[175],"identification":[178],"form":[186],"Python":[193],"language":[194],"have":[195],"been":[196],"developed.Training":[197],"samples":[198,238],"two":[202],"states":[203,248,296],"respondent":[206],"(\"Normal\"":[207],"\"Fatigue\")":[209],"formed":[211],"basis":[214],"proposed":[217,306],"heuristic":[218],"features,":[219],"which":[220],"determined":[222],"integral":[224],"differential":[226],"transformations":[227],"system.Training":[237],"build":[244],"classifiers":[245,300],"an":[250],"individual":[251,258],"machine":[253],"learning":[254],"tools.The":[255],"informativeness":[256,316],"all":[261],"their":[262],"possible":[263],"combinations":[264],"pairs":[266],"according":[267],"indicator":[270,317,350],"probability":[273],"correct":[275,314,348],"recognition":[276,294,315,349],"studied":[278],"complete":[283],"search.The":[284],"results":[286],"by":[289,298],"evaluating":[290],"quality":[292],"built":[297],"Bayesian":[299],"spaces":[303,321,338],"features.An":[307],"analysis":[308],"stability":[311],"feature":[320,337],"under":[322],"influence":[324],"levels":[327],"additive":[329],"noise":[330],"out.Two-dimensional":[336],"maximum":[341],"most":[343],"stable":[344],"value":[345],"found":[352],"when":[353],"solving":[354],"scientific":[356],"practical":[358],"task":[359],"assessing":[361],"(fatigue)":[365],"person":[368],"(0.9375).Thus,":[369],"it":[370],"seems":[371],"appropriate":[372],"use":[374],"fields":[388],"neuroscience":[390],"psychology.":[393]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-07-26T00:00:00"}