{"id":"https://openalex.org/W3106760041","doi":null,"title":"Affect Recognition Using Electroencephalography Features","display_name":"Affect Recognition Using Electroencephalography Features","publication_year":2017,"publication_date":"2017-05-08","ids":{"openalex":"https://openalex.org/W3106760041","mag":"3106760041"},"language":"en","primary_location":{"id":"pmh:oai:oaktrust.library.tamu.edu:1969.1/161603","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1969.1/161603","pdf_url":"https://hdl.handle.net/1969.1/161603","source":{"id":"https://openalex.org/S4306400291","display_name":"OakTrust (Texas A&M University Libraries)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I91045830","host_organization_name":"Texas A&M University","host_organization_lineage":["https://openalex.org/I91045830"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1969.1/161603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008160836","display_name":"Sushirdeep Narayana","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sushirdeep Narayana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5008160836"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"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/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.00019999999494757503,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/affect-recognition","display_name":"affect recognition","score":0.8199999928474426},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"emotion recognition","score":0.8489999771118164},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.9559999704360962},{"id":"https://openalex.org/keywords/eeg-features","display_name":"EEG features","score":0.8410000205039978},{"id":"https://openalex.org/keywords/valence","display_name":"valence","score":0.9430000185966492},{"id":"https://openalex.org/keywords/arousal","display_name":"arousal","score":1.0},{"id":"https://openalex.org/keywords/dominance","display_name":"dominance","score":0.9800000190734863},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.5680000185966492},{"id":"https://openalex.org/keywords/machine-learning-models","display_name":"machine learning models","score":0.5580000281333923},{"id":"https://openalex.org/keywords/stress-detection","display_name":"stress detection","score":0.7490000128746033},{"id":"https://openalex.org/keywords/mental-workload","display_name":"mental workload","score":0.9909999966621399},{"id":"https://openalex.org/keywords/relaxation","display_name":"relaxation","score":0.4779999852180481},{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.6439999938011169}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7364270687103271},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.7069885730743408},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.40716972947120667},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.38681524991989136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3832370638847351},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.22185653448104858},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.16835054755210876}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:oaktrust.library.tamu.edu:1969.1/161603","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1969.1/161603","pdf_url":"https://hdl.handle.net/1969.1/161603","source":{"id":"https://openalex.org/S4306400291","display_name":"OakTrust (Texas A&M University Libraries)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I91045830","host_organization_name":"Texas A&M University","host_organization_lineage":["https://openalex.org/I91045830"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"mag:3106760041","doi":null,"is_oa":false,"landing_page_url":"https://oaktrust.library.tamu.edu/handle/1969.1/161603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:oaktrust.library.tamu.edu:1969.1/161603","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1969.1/161603","pdf_url":"https://hdl.handle.net/1969.1/161603","source":{"id":"https://openalex.org/S4306400291","display_name":"OakTrust (Texas A&M University Libraries)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I91045830","host_organization_name":"Texas A&M University","host_organization_lineage":["https://openalex.org/I91045830"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3106760041.pdf","grobid_xml":"https://content.openalex.org/works/W3106760041.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W53188351","https://openalex.org/W1503398984","https://openalex.org/W1512098439","https://openalex.org/W1563304824","https://openalex.org/W2002055708","https://openalex.org/W2018200772","https://openalex.org/W2034744369","https://openalex.org/W2043181832","https://openalex.org/W2057221526","https://openalex.org/W2081420711","https://openalex.org/W2095905361","https://openalex.org/W2099509424","https://openalex.org/W2106822551","https://openalex.org/W2121570046","https://openalex.org/W2122098299","https://openalex.org/W2131987814","https://openalex.org/W2142280324","https://openalex.org/W2153635508","https://openalex.org/W2154053567","https://openalex.org/W2156571267","https://openalex.org/W2339343773","https://openalex.org/W2396294141"],"related_works":["https://openalex.org/W3132376442","https://openalex.org/W7150036262","https://openalex.org/W2626398076","https://openalex.org/W6958303337","https://openalex.org/W2062291786","https://openalex.org/W970695981","https://openalex.org/W4381058501","https://openalex.org/W2572741602","https://openalex.org/W7131867308","https://openalex.org/W2793039858"],"abstract_inverted_index":{"Affect":[0],"is":[1,59,110,154,199],"the":[2,24,53,66,83,90,115,139,171,178,185,190,206,212,217,226],"psychological":[3],"display":[4],"of":[5,26,38,88,117,134,170,180,193,211],"emotion":[6],"often":[7,155],"described":[8],"with":[9],"three":[10],"principal":[11,191],"dimensions:":[12],"1)":[13],"valence":[14],"2)":[15],"arousal":[16],"and":[17,55,82,98,103,145,229],"3)":[18],"dominance.":[19],"This":[20,58],"thesis":[21,109],"work":[22],"explores":[23],"ability":[25],"computers":[27],"to":[28,41,64,73,157,177,188,204,215],"recognize":[29,123,189],"human":[30,43,84],"emotions":[31,44],"using":[32,45,62,142],"Electroencephalography":[33],"(EEG)":[34,130],"features.":[35,208],"The":[36,132,209],"development":[37],"computer":[39,81,121],"systems":[40,122],"classify":[42],"physiological":[46],"signals":[47,141],"has":[48],"recently":[49],"gained":[50],"pace":[51],"in":[52,106,202],"research":[54],"technological":[56],"community.":[57],"because":[60],"by":[61,224,231],"EEG":[63,94,140],"analyze":[65],"cognitive":[67,99],"state":[68],"one":[69],"will":[70,164,220],"be":[71,221],"able":[72],"establish":[74],"a":[75,80,127,148,167],"direct":[76],"communication":[77],"channel":[78],"between":[79],"brain.":[85],"Other":[86],"applications":[87],"recognizing":[89],"affective":[91,218],"states":[92,125,219],"from":[93,138],"include":[95],"identifying":[96],"stress":[97],"workload":[100],"on":[101,114],"individuals":[102],"assist":[104],"them":[105],"relaxation.":[107],"\\n\\nThis":[108],"an":[111],"extensive":[112],"study":[113],"design":[116],"paradigms":[118,173,187],"that":[119,174],"help":[120],"emotional":[124,181],"given":[126],"multichannel":[128],"Electroencephalogram":[129],"segment.":[131],"process":[133],"first":[135,165],"extracting":[136],"features":[137],"signal":[143],"processing":[144],"then":[146],"constructing":[147],"predictive":[149],"model":[150],"via":[151],"machine":[152],"learning":[153],"referred":[156],"as":[158],"paradigms.":[159],"In":[160],"this":[161],"work,":[162],"we":[163],"present":[166],"brief":[168],"review":[169],"state-of-the-art":[172],"have":[175],"contributed":[176],"topic":[179],"affect":[182,194],"recognition.":[183],"Then":[184],"proposed":[186],"dimensions":[192],"are":[195],"detailed.":[196],"Feature":[197],"selection":[198],"also":[200],"performed":[201,222],"order":[203],"select":[205],"relevant":[207],"evaluation":[210],"models":[213],"created":[214],"predict":[216],"quantitatively":[223],"calculating":[225],"generalization":[227],"accuracy":[228],"qualitatively":[230],"interpreting":[232],"them.":[233]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-12-07T00:00:00"}
