{"id":"https://openalex.org/W2954463544","doi":"https://doi.org/10.1088/1757-899x/557/1/012033","title":"Non Linear Features Analysis between Imaginary and Non-imaginary Tasks for Human EEG-based Biometric Identification","display_name":"Non Linear Features Analysis between Imaginary and Non-imaginary Tasks for Human EEG-based Biometric Identification","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2954463544","doi":"https://doi.org/10.1088/1757-899x/557/1/012033","mag":"2954463544"},"language":"en","primary_location":{"id":"doi:10.1088/1757-899x/557/1/012033","doi":"https://doi.org/10.1088/1757-899x/557/1/012033","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1757-899x/557/1/012033","pdf_url":"https://iopscience.iop.org/article/10.1088/1757-899X/557/1/012033/pdf","source":{"id":"https://openalex.org/S4210189194","display_name":"IOP Conference Series Materials Science and Engineering","issn_l":"1757-8981","issn":["1757-8981","1757-899X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IOP Conference Series: Materials Science and Engineering","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://iopscience.iop.org/article/10.1088/1757-899X/557/1/012033/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048015158","display_name":"Zhi Ying Ong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Zhi Ying Ong","raw_affiliation_strings":["Biosignal Processing Research Group (BioSIM), School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biosignal Processing Research Group (BioSIM), School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082499911","display_name":"A. Saidatul","orcid":"https://orcid.org/0000-0003-1255-6287","observed_orcids":["https://orcid.org/0000-0003-1255-6287"]},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"A Saidatul","raw_affiliation_strings":["Biosignal Processing Research Group (BioSIM), School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biosignal Processing Research Group (BioSIM), School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113886743","display_name":"Vikneswaran Vijean","orcid":"https://orcid.org/0009-0003-3731-7140","observed_orcids":["https://orcid.org/0009-0003-3731-7140"]},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"V Vijean","raw_affiliation_strings":["Biosignal Processing Research Group (BioSIM), School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biosignal Processing Research Group (BioSIM), School of Mechatronic Engineering, Universiti Malaysia Perlis, Arau, Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059161590","display_name":"Zunaidi Ibrahim","orcid":"https://orcid.org/0000-0002-0246-1017","observed_orcids":["https://orcid.org/0000-0002-0246-1017"]},"institutions":[{"id":"https://openalex.org/I5728261","display_name":"University of Sunderland","ror":"https://ror.org/04p55hr04","country_code":"GB","type":"education","lineage":["https://openalex.org/I5728261"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Z Ibrahim","raw_affiliation_strings":["Faculty of Technology, University of Sunderland, St Peter\u2019s Campus, Sunderland, SR6 0DD, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Technology, University of Sunderland, St Peter\u2019s Campus, Sunderland, SR6 0DD, United Kingdom","institution_ids":["https://openalex.org/I5728261"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.348,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87804425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"557","issue":"1","first_page":"012033","last_page":"012033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8583999872207642,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8583999872207642,"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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.05480000004172325,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.03920000046491623,"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/motor-imagery","display_name":"motor imagery","score":0.7300000190734863},{"id":"https://openalex.org/keywords/motor-execution","display_name":"motor execution","score":0.6259999871253967},{"id":"https://openalex.org/keywords/nonlinear-characteristics","display_name":"nonlinear characteristics","score":0.8880000114440918},{"id":"https://openalex.org/keywords/empirical-mode-decomposition","display_name":"empirical mode decomposition","score":0.925000011920929},{"id":"https://openalex.org/keywords/hurst-exponent","display_name":"Hurst exponent","score":0.996999979019165},{"id":"https://openalex.org/keywords/entropy-information-theory","display_name":"entropy (information theory)","score":0.9449999928474426},{"id":"https://openalex.org/keywords/random-forest-classification","display_name":"random forest classification","score":0.7749999761581421},{"id":"https://openalex.org/keywords/baseline-wander-removal","display_name":"baseline wander removal","score":0.5109999775886536}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7494016289710999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5875118970870972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5814356207847595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5794780254364014},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.5750784277915955},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5038172602653503},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.48481884598731995},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4642978310585022},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.43893152475357056},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4305489957332611},{"id":"https://openalex.org/C96835011","wikidata":"https://www.wikidata.org/wiki/Q1638718","display_name":"Hurst exponent","level":2,"score":0.42594635486602783},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4251527786254883},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3446806073188782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23445796966552734},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.21137437224388123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1923355758190155},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18115466833114624},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10321828722953796},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1757-899x/557/1/012033","doi":"https://doi.org/10.1088/1757-899x/557/1/012033","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1757-899x/557/1/012033","pdf_url":"https://iopscience.iop.org/article/10.1088/1757-899X/557/1/012033/pdf","source":{"id":"https://openalex.org/S4210189194","display_name":"IOP Conference Series Materials Science and Engineering","issn_l":"1757-8981","issn":["1757-8981","1757-899X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IOP Conference Series: Materials Science and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/1757-899x/557/1/012033","doi":"https://doi.org/10.1088/1757-899x/557/1/012033","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1757-899x/557/1/012033","pdf_url":"https://iopscience.iop.org/article/10.1088/1757-899X/557/1/012033/pdf","source":{"id":"https://openalex.org/S4210189194","display_name":"IOP Conference Series Materials Science and Engineering","issn_l":"1757-8981","issn":["1757-8981","1757-899X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IOP Conference Series: Materials Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954463544.pdf","grobid_xml":"https://content.openalex.org/works/W2954463544.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W141419732","https://openalex.org/W369573735","https://openalex.org/W1525770066","https://openalex.org/W1867366711","https://openalex.org/W2027927824","https://openalex.org/W2068028305","https://openalex.org/W2073182108","https://openalex.org/W2084594947","https://openalex.org/W2108432874","https://openalex.org/W2110444396","https://openalex.org/W2134919037","https://openalex.org/W2136299303","https://openalex.org/W2140025687","https://openalex.org/W2154704562","https://openalex.org/W2161249262","https://openalex.org/W2584834436","https://openalex.org/W2769514020","https://openalex.org/W6631631388"],"related_works":["https://openalex.org/W2953671860","https://openalex.org/W4400960361","https://openalex.org/W1964823782","https://openalex.org/W7138841591","https://openalex.org/W363624389","https://openalex.org/W3159030788","https://openalex.org/W2533779808","https://openalex.org/W2955633693","https://openalex.org/W2110850627","https://openalex.org/W7098078077"],"abstract_inverted_index":{"Abstract":[0],"Electroencephalogram":[1],"(EEG)":[2],"is":[3,27,39,98,143,230],"a":[4,33,40,86,171],"signal":[5,38,67,138,150,156],"contains":[6,32],"information":[7],"of":[8,14,35,61,96,192],"brain":[9,26],"activities.":[10,56],"Nowadays,":[11],"many":[12],"types":[13],"research":[15],"regarding":[16],"EEG":[17,37,63,66,137,149,155],"have":[18],"been":[19,183],"done":[20],"such":[21,195],"as":[22,196],"neuromarketing.":[23],"The":[24,148,190],"human":[25,76],"very":[28],"complicated":[29],"but":[30],"it":[31,43,48,226],"lot":[34],"information.":[36],"non-stationary":[41],"signal,":[42,64],"changes":[44],"over":[45],"time":[46],"and":[47,55,85,113,118,139,162,203,216,222],"also":[49],"depends":[50],"on":[51],"human\u2019s":[52],"emotion,":[53],"thinking":[54],"Due":[57],"to":[58,71,91,100,134,145,185,232],"the":[59,62,65,69,75,115,136,140],"uniqueness":[60],"has":[68,182],"potential":[70],"be":[72,101,233],"used":[73,102,133],"in":[74,103,235],"authentication":[77,104],"system.":[78,105],"In":[79,106],"this":[80],"paper,":[81],"an":[82],"imaginary":[83,214],"task":[84,88,97,215,218],"non-imaginary":[87,217],"were":[89,111,205],"studied":[90],"find":[92],"out":[93],"which":[94,219],"type":[95],"possible":[99,231],"preliminary":[107],"study,":[108],"five":[109],"subjects":[110],"volunteered":[112],"performed":[114],"motor":[116,119],"imagery":[117],"execution":[120],"tasks.":[121],"EEGOTM":[122],"sports":[123],"device":[124],"(ANT":[125],"Neuro,":[126],"Enschede,":[127],"Netherlands)":[128],"with":[129,178],"32":[130],"channels":[131],"was":[132,151,167],"record":[135],"sampling":[141],"frequency":[142],"set":[144],"512":[146],"Hz.":[147],"analysed":[152],"by":[153,169],"using":[154,170],"processing":[157],"namely":[158],"pre-processing,":[159],"feature":[160],"extraction":[161],"classification.":[163],"Power":[164],"line":[165],"interference":[166],"removed":[168],"notch":[172],"filter.":[173],"Daubechies":[174],"8":[175],"wavelet":[176],"family":[177],"5th":[179],"level":[180],"decomposition":[181],"applied":[184],"remove":[186],"baseline":[187],"wander":[188],"noise.":[189],"performance":[191],"non-linear":[193,228],"features":[194,229],"Empirical":[197],"Mode":[198],"Decomposition":[199],"(EMD),":[200],"Hurst":[201],"Exponent":[202],"Entropy":[204],"examined.":[206],"Random":[207],"forest":[208],"gives":[209],"good":[210],"classification":[211],"accuracy":[212],"for":[213],"are":[220],"83.53%":[221],"87.06%":[223],"respectively,":[224],"thus,":[225],"shows":[227],"employed":[234],"biometric":[236],"identification.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-07-12T00:00:00"}
