{"id":"https://openalex.org/W2399053343","doi":"https://doi.org/10.21437/interspeech.2012-228","title":"HMM based continuous EOG recognition for eye-input speech interface","display_name":"HMM based continuous EOG recognition for eye-input speech interface","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2399053343","doi":"https://doi.org/10.21437/interspeech.2012-228","mag":"2399053343"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2012-228","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2012-228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2012","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100644066/ATD100000413/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012466506","display_name":"Fuming Fang","orcid":"https://orcid.org/0000-0002-9332-3735"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]},{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Fuming Fang","raw_affiliation_strings":["Division of Information Sciences, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Information Sciences, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103015161","display_name":"Takahiro Shinozaki","orcid":"https://orcid.org/0000-0001-8114-8450"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]},{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Shinozaki","raw_affiliation_strings":["Division of Information Sciences, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Information Sciences, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110633678","display_name":"Yasuo Horiuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Horiuchi","raw_affiliation_strings":["Division of Information Sciences, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Information Sciences, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112035972","display_name":"Shingo Kuroiwa","orcid":null},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shingo Kuroiwa","raw_affiliation_strings":["Division of Information Sciences, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Information Sciences, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009532108","display_name":"Sadaoki Furui","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sadaoki Furui","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011905560","display_name":"Toshimitsu Musha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toshimitsu Musha","raw_affiliation_strings":["Brain Functions Laboratory Inc., Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Brain Functions Laboratory Inc., Kanagawa, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012466506"],"corresponding_institution_ids":["https://openalex.org/I14396692","https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":0.2963,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64204939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"735","last_page":"738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9968000054359436,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9954000115394592,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8409320116043091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8107765316963196},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7077326774597168},{"id":"https://openalex.org/keywords/electrooculography","display_name":"Electrooculography","score":0.6534932851791382},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5888715982437134},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5778341293334961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5358980894088745},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.506653368473053},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4592253267765045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44987455010414124}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8409320116043091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8107765316963196},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7077326774597168},{"id":"https://openalex.org/C2778681526","wikidata":"https://www.wikidata.org/wiki/Q420647","display_name":"Electrooculography","level":3,"score":0.6534932851791382},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5888715982437134},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5778341293334961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5358980894088745},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.506653368473053},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4592253267765045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44987455010414124},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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":2,"locations":[{"id":"doi:10.21437/interspeech.2012-228","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2012-228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2012","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50185428","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100644066","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100644066/ATD100000413/","source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:t2r2.star.titech.ac.jp:50185428","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100644066","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100644066/ATD100000413/","source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2725779349","display_name":"Macromolecular Potential Energy Decoder Based on Graphical Model","funder_award_id":"23650068","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G406599951","display_name":"\u96fb\u5b50\u30d3\u30fc\u30e0\u84b8\u7740\u6cd5\u306b\u3088\u308a\u88fd\u4f5c\u3057\u305f\u30de\u30b0\u30cd\u30bf\u30a4\u30c8\u8584\u819c\u306e\u30e1\u30b9\u30d0\u30a6\u30a2\u30fc\u5206\u6790","funder_award_id":"365006","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4446017563","display_name":"\u6383\u6d41\u6d41\u7802\u91cf\u8a08\u6e2c\u88c5\u7f6e\u306e\u958b\u767a\u8a66\u4f5c\u306b\u95a2\u3059\u308b\u7814\u7a76","funder_award_id":"50068","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6975606911","display_name":null,"funder_award_id":"21300060","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7531875455","display_name":"\u5927\u90fd\u5e02\u306a\u3089\u3073\u306b\u305d\u306e\u5468\u8fba\u5730\u57df\u306b\u304a\u3051\u308b\u5bb6\u5185\u52b4\u529b\u306e\u5b9f\u8a3c\u7684\u7814\u7a76\u2015\u3068\u304f\u306b\u5927\u962a\u3092\u4e2d\u5fc3\u3068\u3057\u3066\u2015","funder_award_id":"30006","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7777124022","display_name":"\u30ec\u30fc\u30b6\u30fb\u30d3\u30fc\u30e0\u4f1d\u9001\u5b9f\u7528\u5316\u8a66\u9a13\u88c5\u7f6e\u306e\u8a66\u4f5c\u7814\u7a76","funder_award_id":"650068","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G839937117","display_name":"\u4e0d\u78ba\u5b9a\u6027\u4e0b\u306b\u304a\u3051\u308b\u8fb2\u696d\u7d4c\u55b6\u8a08\u753b\u7406\u8ad6\u306e\u7814\u7a76","funder_award_id":"65006","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320311914","display_name":"Kurata Memorial Hitachi Science and Technology Foundation","ror":"https://ror.org/02exqgm79"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2399053343.pdf","grobid_xml":"https://content.openalex.org/works/W2399053343.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W1666243891","https://openalex.org/W2037695415","https://openalex.org/W2141512911","https://openalex.org/W2172203831"],"related_works":["https://openalex.org/W4283449118","https://openalex.org/W2734543841","https://openalex.org/W2612976815","https://openalex.org/W2589754273","https://openalex.org/W1980947986","https://openalex.org/W2294153031","https://openalex.org/W2038049059","https://openalex.org/W2960200109","https://openalex.org/W4306698199","https://openalex.org/W2572550367"],"abstract_inverted_index":{"To":[0],"provide":[1],"an":[2,40],"efficient":[3],"means":[4],"of":[5,13,60,108,116],"communication":[6],"for":[7,67,113,150],"those":[8],"who":[9],"cannot":[10],"move":[11],"muscles":[12],"the":[14,50,61,68,90,94],"whole":[15],"body":[16],"except":[17],"eyes":[18,53],"due":[19],"to":[20,130],"amyotrophic":[21],"lateral":[22],"sclerosis":[23],"(ALS),":[24],"we":[25,73,92],"are":[26],"developing":[27],"a":[28,64,77,120,135],"speech":[29,87],"synthesis":[30],"interface":[31],"that":[32,43,106,142],"is":[33,39,44,63,104,111,128,140],"based":[34,82],"on":[35,49],"electrooculogram":[36],"(EOG)":[37],"input.EOG":[38],"electrical":[41],"signal":[42],"observed":[45],"through":[46],"electrodes":[47],"attached":[48],"skin":[51],"around":[52],"and":[54,75,101],"reflects":[55],"eye":[56,117],"position.A":[57],"key":[58],"component":[59],"system":[62,96,123],"continuous":[65,86],"recognizer":[66,84],"EOG":[69,83,151],"signal.In":[70],"this":[71],"paper,":[72],"propose":[74],"investigate":[76],"hidden":[78],"Markov":[79],"model":[80],"(HMM)":[81],"applying":[85],"recognition":[88,95,109],"techniques.In":[89],"experiments,":[91],"evaluate":[93],"both":[97],"in":[98],"user":[99,121,136],"dependent":[100,122],"independent":[102,137],"conditions.It":[103],"shown":[105,141],"96.1%":[107],"accuracy":[110],"obtained":[112],"five":[114],"classes":[115],"actions":[118],"by":[119,134],"using":[124],"six":[125],"channels.While":[126],"it":[127,139],"difficult":[129],"obtain":[131],"good":[132],"performance":[133],"system,":[138],"maximum":[143],"likelihood":[144],"linear":[145],"regression":[146],"(MLLR)":[147],"adaptation":[148],"helps":[149],"recognition.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
