{"id":"https://openalex.org/W2589122764","doi":"https://doi.org/10.1109/iww-bci.2017.7858176","title":"Identification of Attention State for Menu-Selection using In-Ear EEG Recording","display_name":"Identification of Attention State for Menu-Selection using In-Ear EEG Recording","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2589122764","doi":"https://doi.org/10.1109/iww-bci.2017.7858176","mag":"2589122764"},"language":"en","primary_location":{"id":"doi:10.1109/iww-bci.2017.7858176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2017.7858176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Winter Conference on Brain-Computer Interface (BCI)","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/A5018037307","display_name":"Dong\u2010Hwa Jeong","orcid":"https://orcid.org/0000-0003-4896-9681"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong-Hwa Jeong","raw_affiliation_strings":["Department of Bio and Brain Engineering, KAIST Program of Brain and Cognitive Engineering, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Bio and Brain Engineering, KAIST Program of Brain and Cognitive Engineering, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033142056","display_name":"Jaeseung Jeong","orcid":"https://orcid.org/0000-0002-0827-2735"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeseung Jeong","raw_affiliation_strings":["Department of Bio and Brain Engineering, KAIST Program of Brain and Cognitive Engineering, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Bio and Brain Engineering, KAIST Program of Brain and Cognitive Engineering, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089058761","display_name":"Yongwook Chae","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YongWook Chae","raw_affiliation_strings":["Looxid Labs Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Looxid Labs Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065126263","display_name":"HyeonYoung Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093996","display_name":"Dolby (United States)","ror":"https://ror.org/01eyenr26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093996"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"HyeonYoung Choi","raw_affiliation_strings":["Looxid Labs, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Looxid Labs, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4210093996"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018037307"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.01547974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9768999814987183,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9749000072479248,"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":0.8491196632385254},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8279491066932678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339931130409241},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6561579704284668},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5864698886871338},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5614851117134094},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5267084240913391},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5077122449874878},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5066600441932678},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4389571249485016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4151345491409302},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41082069277763367},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09926283359527588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08166629076004028},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0672667920589447}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8491196632385254},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8279491066932678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339931130409241},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6561579704284668},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5864698886871338},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5614851117134094},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5267084240913391},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5077122449874878},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5066600441932678},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4389571249485016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4151345491409302},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41082069277763367},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09926283359527588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08166629076004028},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0672667920589447},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iww-bci.2017.7858176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2017.7858176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Winter Conference on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1496923911","https://openalex.org/W1978962433","https://openalex.org/W1990016207","https://openalex.org/W2089847292","https://openalex.org/W2133373764","https://openalex.org/W2150066253","https://openalex.org/W2218268979","https://openalex.org/W2417221209","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W6629474112","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1616854372","https://openalex.org/W1969223073"],"abstract_inverted_index":{"Conventional":[0],"EEG":[1,30,34,61,133],"devices":[2],"have":[3],"limitations":[4],"for":[5,50,119],"the":[6,37,44,55,65],"use":[7,25,69],"of":[8,43,72],"Brain-Computer":[9],"Interface":[10],"(BCI)":[11],"because":[12],"they":[13],"are":[14,125],"uncomfortable":[15],"to":[16,68],"wear":[17],"in":[18,36,80],"daily":[19],"life.":[20],"Since":[21],"most":[22],"smartphone":[23],"users":[24],"earphones,":[26],"a":[27],"novel":[28],"Earphone-shaped":[29],"device,":[31],"which":[32],"measures":[33],"signals":[35],"ear":[38],"canal":[39],"while":[40],"maintaining":[41],"functions":[42],"earphone,":[45],"can":[46],"be":[47,136],"powerful":[48],"tools":[49],"BCI.":[51],"In":[52],"this":[53,116],"report,":[54],"attention":[56,86,101],"state":[57,67,87,102,108],"recorded":[58],"from":[59,64,98,106],"in-ear":[60],"was":[62,103],"discriminated":[63],"resting":[66,107],"simple":[70],"application":[71,130],"one-button":[73],"menu":[74],"selection.":[75],"Power":[76],"spectral":[77],"densities":[78],"(PSD)":[79],"eye-closed":[81],"state,":[82,84],"eye-open":[83],"and":[85,122,127],"were":[88],"compared":[89],"using":[90,131],"autoregressive":[91],"(AR)":[92],"Burg":[93],"method.":[94],"Using":[95],"selected":[96],"features":[97],"Fisher":[99],"ratio,":[100],"successfully":[104],"classified":[105],"with":[109],"support":[110],"vector":[111],"machine":[112],"(SVM).":[113],"Based":[114],"on":[115],"study,":[117],"prototypes":[118],"stable":[120],"recording":[121],"sound":[123],"delivery":[124],"developing":[126],"real-time":[128],"BCI":[129],"earphone-shaped":[132],"device":[134],"will":[135],"researched.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
