{"id":"https://openalex.org/W2938807583","doi":"https://doi.org/10.1109/coginfocom.2014.7020434","title":"Predicting arousal with machine learning of EEG signals","display_name":"Predicting arousal with machine learning of EEG signals","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2938807583","doi":"https://doi.org/10.1109/coginfocom.2014.7020434","mag":"2938807583"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom.2014.7020434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2014.7020434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)","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/A5060987943","display_name":"Tam\u00e1s Nagy","orcid":"https://orcid.org/0000-0001-5244-0356"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tamas Nagy","raw_affiliation_strings":["Synetiq Ltd., Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Synetiq Ltd., Budapest, Hungary","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015054335","display_name":"David Tellez","orcid":"https://orcid.org/0000-0001-8500-2491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Tellez","raw_affiliation_strings":["Synetiq Ltd., Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Synetiq Ltd., Budapest, Hungary","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079932947","display_name":"Adam Divak","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Adam Divak","raw_affiliation_strings":["Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074392430","display_name":"Emma L\u00f3g\u00f3","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Emma Logo","raw_affiliation_strings":["Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000450331","display_name":"M\u00e1t\u00e9 K\u00f6les","orcid":"https://orcid.org/0000-0003-3236-2375"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Mate Koles","raw_affiliation_strings":["Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073057605","display_name":"Bal\u00e1zs P\u00e9ter H\u00e1mornik","orcid":"https://orcid.org/0000-0001-8085-1259"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Balazs Hamornik","raw_affiliation_strings":["Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapesti M\u00fcszaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem, Erg\u00f3n\u00f3mia \u00e9s Pszichol\u00f3gia Tansz\u00e9k, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060987943"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6125,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68417236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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":0.9951000213623047,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9939000010490417,"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.9275881052017212},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.8100756406784058},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8036953806877136},{"id":"https://openalex.org/keywords/neurofeedback","display_name":"Neurofeedback","score":0.7876989245414734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.577822744846344},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5443252921104431},{"id":"https://openalex.org/keywords/neuromarketing","display_name":"Neuromarketing","score":0.514919638633728},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46563592553138733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37258726358413696},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.368039608001709},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35595962405204773},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3325396180152893},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3304286003112793},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.21491065621376038}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.9275881052017212},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.8100756406784058},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8036953806877136},{"id":"https://openalex.org/C2434490","wikidata":"https://www.wikidata.org/wiki/Q1306920","display_name":"Neurofeedback","level":3,"score":0.7876989245414734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577822744846344},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5443252921104431},{"id":"https://openalex.org/C2781183061","wikidata":"https://www.wikidata.org/wiki/Q516337","display_name":"Neuromarketing","level":2,"score":0.514919638633728},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46563592553138733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37258726358413696},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.368039608001709},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35595962405204773},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3325396180152893},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3304286003112793},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.21491065621376038},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coginfocom.2014.7020434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2014.7020434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W110731996","https://openalex.org/W1015323261","https://openalex.org/W1514687927","https://openalex.org/W1902817414","https://openalex.org/W1997061718","https://openalex.org/W2003697795","https://openalex.org/W2011004955","https://openalex.org/W2017128901","https://openalex.org/W2073749171","https://openalex.org/W2113412631","https://openalex.org/W2120339204","https://openalex.org/W2128495200","https://openalex.org/W2142280324","https://openalex.org/W2145583813","https://openalex.org/W2149628368","https://openalex.org/W2164423683","https://openalex.org/W2168031754","https://openalex.org/W2180532674","https://openalex.org/W2478764905","https://openalex.org/W4242743388","https://openalex.org/W6685548588"],"related_works":["https://openalex.org/W1538318010","https://openalex.org/W584617046","https://openalex.org/W4232901672","https://openalex.org/W2096913898","https://openalex.org/W2904050376","https://openalex.org/W1983917658","https://openalex.org/W2020519896","https://openalex.org/W2768363770","https://openalex.org/W2426762202","https://openalex.org/W2050832787"],"abstract_inverted_index":{"The":[0,65],"usage":[1],"of":[2,31,51,57,76,103],"brain-computer":[3],"interface":[4],"(BCI)":[5],"is":[6,53],"becoming":[7],"more":[8,10],"and":[9,44],"popular":[11,49],"in":[12,20],"real":[13],"life":[14],"settings.":[15],"As":[16],"BCI":[17,32,52],"equipment":[18],"increases":[19],"ubiquity,":[21],"the":[22,54,73,101],"potential":[23],"for":[24],"application":[25],"areas":[26],"also":[27],"rises.":[28],"Present":[29],"utilization":[30],"includes":[33],"-":[34,37,85,97],"among":[35],"others":[36],"prosthesis":[38],"control":[39],"[1],":[40],"neurofeedback":[41],"training":[42],"[2],":[43],"neuromarketing":[45],"[3].":[46],"A":[47],"now":[48],"field":[50],"automatic":[55],"identification":[56],"emotions":[58],"using":[59,79],"different":[60],"physiological":[61,105],"devices":[62],"[4],":[63,95],"[5].":[64],"following":[66],"study":[67],"represents":[68],"our":[69,98],"effort":[70],"to":[71,82,92,107],"identify":[72],"arousal":[74,94],"component":[75],"emotion":[77],"[6]":[78],"EEG.":[80],"Contrary":[81],"previous":[83],"studies":[84],"that":[86],"have":[87],"mostly":[88],"used":[89],"questionnaire":[90],"responses":[91],"assess":[93],"[7]":[96],"approach":[99],"involved":[100],"use":[102],"objective":[104],"markers":[106],"gauge":[108],"arousal.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
