{"id":"https://openalex.org/W3030248081","doi":"https://doi.org/10.1145/3396339.3396362","title":"A comparison between audio and IMU data to detect chewing events based on an earable device","display_name":"A comparison between audio and IMU data to detect chewing events based on an earable device","publication_year":2020,"publication_date":"2020-05-27","ids":{"openalex":"https://openalex.org/W3030248081","doi":"https://doi.org/10.1145/3396339.3396362","mag":"3030248081"},"language":"en","primary_location":{"id":"doi:10.1145/3396339.3396362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3396339.3396362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Augmented Human International Conference","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/A5110616922","display_name":"Roya Lotfi","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Roya Lotfi","raw_affiliation_strings":["University of Manitoba, Winnipeg, Manitoba, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Winnipeg, Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010445045","display_name":"George Tzanetakis","orcid":"https://orcid.org/0000-0002-6844-7912"},"institutions":[{"id":"https://openalex.org/I212119943","display_name":"University of Victoria","ror":"https://ror.org/04s5mat29","country_code":"CA","type":"education","lineage":["https://openalex.org/I212119943"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"George Tzanetakis","raw_affiliation_strings":["University of Victoria, Victoria, British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of Victoria, Victoria, British Columbia, Canada","institution_ids":["https://openalex.org/I212119943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033570971","display_name":"Rasit Eskicioglu","orcid":"https://orcid.org/0000-0002-2928-4321"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rasit Eskicioglu","raw_affiliation_strings":["University of Manitoba, Winnipeg, Manitoba, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Winnipeg, Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078907679","display_name":"Pourang Irani","orcid":"https://orcid.org/0000-0002-7716-9280"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pourang Irani","raw_affiliation_strings":["University of Manitoba, Winnipeg, Manitoba, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba, Winnipeg, Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110616922"],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":1.2701,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.82259528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10866","display_name":"Nutritional Studies and Diet","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.9472000002861023,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.794196605682373},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7076545357704163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5876383185386658},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5281724333763123},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5154260396957397},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.47801196575164795},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4490606486797333},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.44774797558784485},{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.4174045920372009},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.41015076637268066},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3160494565963745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794196605682373},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7076545357704163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5876383185386658},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5281724333763123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5154260396957397},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.47801196575164795},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4490606486797333},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.44774797558784485},{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.4174045920372009},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.41015076637268066},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3160494565963745},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3396339.3396362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3396339.3396362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Augmented Human International Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W15066456","https://openalex.org/W584173323","https://openalex.org/W1860620008","https://openalex.org/W1973850182","https://openalex.org/W1987108638","https://openalex.org/W1987523869","https://openalex.org/W2018963069","https://openalex.org/W2031614119","https://openalex.org/W2085731535","https://openalex.org/W2103869314","https://openalex.org/W2141690328","https://openalex.org/W2151703098","https://openalex.org/W2162226056","https://openalex.org/W2314727285","https://openalex.org/W2487770199","https://openalex.org/W2516020480","https://openalex.org/W2535014029","https://openalex.org/W2547661121","https://openalex.org/W2754998475","https://openalex.org/W2755426661","https://openalex.org/W2791600389","https://openalex.org/W2815783583","https://openalex.org/W2896518452","https://openalex.org/W4230358619","https://openalex.org/W4382677476"],"related_works":["https://openalex.org/W4214581441","https://openalex.org/W2053762217","https://openalex.org/W2494432015","https://openalex.org/W2114479223","https://openalex.org/W2134572333","https://openalex.org/W2150501849","https://openalex.org/W1968240874","https://openalex.org/W2080835026","https://openalex.org/W2779694590","https://openalex.org/W4255605830"],"abstract_inverted_index":{"The":[0,149],"feasibility":[1,44],"of":[2,45,72,102,134,139,151,162],"collecting":[3],"various":[4],"data":[5,30,55,66,166],"from":[6,57,109],"built-in":[7],"wearable":[8],"sensors":[9],"has":[10],"enticed":[11],"many":[12],"researchers":[13],"to":[14,177],"use":[15],"these":[16],"devices":[17],"for":[18,34,76],"analyzing":[19],"human":[20],"activities":[21,48],"and":[22,28,52,68,82,87,92,112,143,170],"behaviors.":[23],"In":[24,38],"particular,":[25],"audio,":[26],"video,":[27],"motion":[29],"have":[31],"been":[32],"utilized":[33],"automatic":[35],"dietary":[36],"monitoring.":[37],"this":[39,152],"paper,":[40],"we":[41],"investigate":[42],"the":[43,70,100,118,175],"detecting":[46,168],"chewing":[47,77,103,119,169],"based":[49],"on":[50,131],"audio":[51,111,142,165],"inertial":[53,113,144],"sensor":[54,65,114],"obtained":[56],"an":[58,156,160],"ear-worn":[59],"device,":[60],"eSense.":[61],"We":[62,97,116],"process":[63],"each":[64,73],"separately":[67],"determine":[69],"accuracy":[71,161,176],"sensing":[74],"modality":[75],"detection":[78,104,120],"when":[79,105],"using":[80],"MFCC":[81],"Spectral":[83],"Centroid":[84],"as":[85,95],"features":[86,107],"Logistic":[88],"Regression,":[89],"Decision":[90],"Tree,":[91],"Random":[93],"Forest":[94],"classifiers.":[96],"also":[98],"measure":[99],"performance":[101],"fusing":[106,171],"extracted":[108],"both":[110,172],"data.":[115,148],"evaluate":[117],"algorithm":[121],"by":[122],"running":[123],"a":[124,128,132],"pilot":[125],"study":[126,153],"inside":[127],"lab":[129],"environment":[130],"total":[133],"5":[135],"participants.":[136],"This":[137],"consists":[138],"130":[140],"minutes":[141],"measurement":[145],"unit":[146],"(IMU)":[147],"results":[150],"indicate":[154],"that":[155],"in-ear":[157],"IMU":[158],"with":[159],"95%":[163],"outperforms":[164],"in":[167],"modalities":[173],"improves":[174],"97%.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
