{"id":"https://openalex.org/W3210726825","doi":"https://doi.org/10.1109/ichms53169.2021.9582641","title":"EEG-Based Familiar and Unfamiliar Face Classification Using Differential Entropy Feature","display_name":"EEG-Based Familiar and Unfamiliar Face Classification Using Differential Entropy Feature","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3210726825","doi":"https://doi.org/10.1109/ichms53169.2021.9582641","mag":"3210726825"},"language":"en","primary_location":{"id":"doi:10.1109/ichms53169.2021.9582641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms53169.2021.9582641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060733456","display_name":"Guoyang Liu","orcid":"https://orcid.org/0000-0002-5879-809X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyang Liu","raw_affiliation_strings":["School of Microelectronics, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781790","display_name":"Di Zhang","orcid":"https://orcid.org/0000-0003-0237-2361"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Zhang","raw_affiliation_strings":["School of Microelectronics, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015624275","display_name":"Tian Lan","orcid":"https://orcid.org/0000-0003-1321-334X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Tian","raw_affiliation_strings":["School of Microelectronics, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055283229","display_name":"Weidong Zhou","orcid":"https://orcid.org/0000-0001-9481-1696"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhou","raw_affiliation_strings":["School of Microelectronics, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"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":0.9990000128746033,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.996399998664856,"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/T10057","display_name":"Face and Expression Recognition","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/electroencephalography","display_name":"Electroencephalography","score":0.841434121131897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7768827080726624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7138242721557617},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6888700127601624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.639092206954956},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6296226978302002},{"id":"https://openalex.org/keywords/differential-entropy","display_name":"Differential entropy","score":0.567392885684967},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5379219055175781},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5069277882575989},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4805189073085785},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.47646498680114746},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.4614526033401489},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4325965642929077},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43008846044540405},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.1940215528011322},{"id":"https://openalex.org/keywords/r\u00e9nyi-entropy","display_name":"R\u00e9nyi entropy","score":0.16724750399589539},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14721733331680298}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.841434121131897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7768827080726624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7138242721557617},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6888700127601624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.639092206954956},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6296226978302002},{"id":"https://openalex.org/C124551494","wikidata":"https://www.wikidata.org/wiki/Q3055345","display_name":"Differential entropy","level":4,"score":0.567392885684967},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5379219055175781},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5069277882575989},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4805189073085785},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.47646498680114746},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.4614526033401489},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4325965642929077},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43008846044540405},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.1940215528011322},{"id":"https://openalex.org/C142611142","wikidata":"https://www.wikidata.org/wiki/Q1433083","display_name":"R\u00e9nyi entropy","level":3,"score":0.16724750399589539},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14721733331680298},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichms53169.2021.9582641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms53169.2021.9582641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1970727126","https://openalex.org/W2030731148","https://openalex.org/W2055842440","https://openalex.org/W2062578280","https://openalex.org/W2098391699","https://openalex.org/W2106700140","https://openalex.org/W2123043045","https://openalex.org/W2740801985","https://openalex.org/W3022829669","https://openalex.org/W3035574324"],"related_works":["https://openalex.org/W2022287597","https://openalex.org/W2347321271","https://openalex.org/W4200519680","https://openalex.org/W4297973239","https://openalex.org/W3012976800","https://openalex.org/W3149214146","https://openalex.org/W2005569032","https://openalex.org/W3129479059","https://openalex.org/W2071645312","https://openalex.org/W2543167752"],"abstract_inverted_index":{"This":[0,84],"study":[1],"presents":[2],"a":[3,76],"novel":[4],"approach":[5],"for":[6,95],"familiar":[7,97],"and":[8,28,55,98,102],"unfamiliar":[9,99],"face":[10,100],"classification":[11],"based":[12],"on":[13,66],"electroencephalography":[14],"(EEG).":[15],"Firstly,":[16],"the":[17,50,58,71,104],"raw":[18],"EEG":[19,47],"epoch":[20],"is":[21,31,42,91],"temporally":[22],"split":[23],"into":[24,33],"three":[25],"overlapped":[26],"segments,":[27],"each":[29],"segment":[30],"decomposed":[32],"multiple":[34],"sub-bands":[35],"by":[36],"band-pass":[37],"filters.":[38],"Then,":[39],"differential":[40,89],"entropy":[41,90],"employed":[43],"to":[44,106,109],"extract":[45],"discriminative":[46],"features.":[48],"Finally,":[49],"obtained":[51],"features":[52],"are":[53],"concatenated":[54],"classified":[56],"with":[57],"support":[59],"vector":[60],"machine":[61],"(SVM).":[62],"The":[63],"results":[64],"yielded":[65],"our":[67],"database":[68],"indicate":[69],"that":[70,88],"proposed":[72],"method":[73],"can":[74],"achieve":[75],"mean":[77],"accuracy":[78],"of":[79],"76.2%":[80],"over":[81],"five":[82],"participants.":[83],"work":[85],"primarily":[86],"demonstrates":[87],"an":[92],"effective":[93],"feature":[94],"EEG-based":[96,111],"classification,":[101],"has":[103],"potential":[105],"be":[107],"applied":[108],"other":[110],"visual":[112],"task":[113],"analyses.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}