{"id":"https://openalex.org/W4200466921","doi":"https://doi.org/10.1109/gcce53005.2021.9621911","title":"Automatic Detection of Chewing and Swallowing Using Attention-Based Fusion","display_name":"Automatic Detection of Chewing and Swallowing Using Attention-Based Fusion","publication_year":2021,"publication_date":"2021-10-12","ids":{"openalex":"https://openalex.org/W4200466921","doi":"https://doi.org/10.1109/gcce53005.2021.9621911"},"language":"en","primary_location":{"id":"doi:10.1109/gcce53005.2021.9621911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce53005.2021.9621911","pdf_url":null,"source":{"id":"https://openalex.org/S4363607807","display_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","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/A5085791392","display_name":"Akihiro Nakamura","orcid":"https://orcid.org/0000-0001-7938-5254"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akihiro Nakamura","raw_affiliation_strings":["Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000395357","display_name":"Takato Saito","orcid":"https://orcid.org/0000-0002-7243-2270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takato Saito","raw_affiliation_strings":["NTT DOCOMO, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071355863","display_name":"Daizo Ikeda","orcid":"https://orcid.org/0000-0002-4022-0505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daizo Ikeda","raw_affiliation_strings":["NTT DOCOMO, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056078828","display_name":"K. Ohta","orcid":"https://orcid.org/0000-0003-2360-9874"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ken Ohta","raw_affiliation_strings":["NTT DOCOMO, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"NTT DOCOMO, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080607707","display_name":"Hiroshi Mineno","orcid":"https://orcid.org/0000-0002-3921-4298"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Mineno","raw_affiliation_strings":["Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083574298","display_name":"Masafumi Nishimura","orcid":"https://orcid.org/0000-0001-7633-9340"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masafumi Nishimura","raw_affiliation_strings":["Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Integrated Science and Technology, Shizuoka University, Shizuoka, Japan","institution_ids":["https://openalex.org/I1298590031"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085791392"],"corresponding_institution_ids":["https://openalex.org/I1298590031"],"apc_list":null,"apc_paid":null,"fwci":0.172,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38213566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577645540237427},{"id":"https://openalex.org/keywords/swallowing","display_name":"Swallowing","score":0.6490024924278259},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6067451238632202},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49220648407936096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39445674419403076},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33774280548095703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3357950448989868},{"id":"https://openalex.org/keywords/dentistry","display_name":"Dentistry","score":0.13105568289756775},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1107218861579895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577645540237427},{"id":"https://openalex.org/C112497637","wikidata":"https://www.wikidata.org/wiki/Q211669","display_name":"Swallowing","level":2,"score":0.6490024924278259},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6067451238632202},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49220648407936096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39445674419403076},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33774280548095703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3357950448989868},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.13105568289756775},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1107218861579895},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce53005.2021.9621911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce53005.2021.9621911","pdf_url":null,"source":{"id":"https://openalex.org/S4363607807","display_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4699999988079071,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1994544878","https://openalex.org/W2611410710","https://openalex.org/W2754998475","https://openalex.org/W2808551235","https://openalex.org/W2936774411","https://openalex.org/W2995025901","https://openalex.org/W3153373849","https://openalex.org/W3161001198"],"related_works":["https://openalex.org/W2003214849","https://openalex.org/W3135249950","https://openalex.org/W2045076038","https://openalex.org/W2563223938","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W2145797872"],"abstract_inverted_index":{"A":[0],"series":[1],"of":[2,15,90],"eating":[3,24,77,96],"behaviors,":[4],"including":[5],"chewing":[6],"and":[7,50,65,69],"swallowing,":[8],"is":[9,82],"deemed":[10],"critical":[11],"for":[12,87,95],"the":[13,70,88],"maintenance":[14],"good":[16],"health.":[17],"Therefore,":[18],"a":[19,37],"system":[20,94],"that":[21],"automatically":[22],"detects":[23],"behaviors":[25],"must":[26],"be":[27,85],"constructed,":[28],"using":[29],"easily":[30],"collected":[31],"sound":[32,48],"information.":[33],"This":[34],"study":[35],"developed":[36,71],"new":[38],"attention-based":[39],"fusion":[40,67],"method":[41],"to":[42,62,84],"integrate":[43],"data":[44],"compiled":[45],"from":[46],"multiple":[47],"sources":[49],"obtained":[51],"effective":[52],"results.":[53],"In":[54],"addition,":[55],"it":[56],"achieved":[57],"performance":[58,81],"enhancements":[59],"in":[60],"comparison":[61],"simply":[63],"early":[64],"late":[66],"methods,":[68],"technique":[72],"could":[73],"more":[74],"accurately":[75],"capture":[76],"behaviors.":[78,97],"Sufficient":[79],"detection":[80],"expected":[83],"attained":[86],"development":[89],"an":[91],"automatic":[92],"monitoring":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}