{"id":"https://openalex.org/W2055100454","doi":"https://doi.org/10.1145/2506583.2506596","title":"A Study of Temporal Action Sequencing During Consumption of a Meal","display_name":"A Study of Temporal Action Sequencing During Consumption of a Meal","publication_year":2013,"publication_date":"2013-09-22","ids":{"openalex":"https://openalex.org/W2055100454","doi":"https://doi.org/10.1145/2506583.2506596","mag":"2055100454"},"language":"en","primary_location":{"id":"doi:10.1145/2506583.2506596","doi":"https://doi.org/10.1145/2506583.2506596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506583.2506596","pdf_url":null,"source":{"id":"https://openalex.org/S7407087958","display_name":"ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5028606827","display_name":"Raul I. Ramos-Garcia","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raul I. Ramos-Garcia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clemson University, Clemson, SC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clemson University, Clemson, SC","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009609077","display_name":"Adam W. Hoover","orcid":"https://orcid.org/0000-0003-2965-6524","observed_orcids":["https://orcid.org/0000-0003-2965-6524"]},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam W. Hoover","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clemson University, Clemson, SC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clemson University, Clemson, SC","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":1.4999,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.86336013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9984999895095825,"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":0.9984999895095825,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.00039999998989515007,"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/T10812","display_name":"Human Pose and Action Recognition","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/meal-ingestion","display_name":"meal ingestion","score":0.5979999899864197},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.7940000295639038},{"id":"https://openalex.org/keywords/wrist-worn-accelerometers","display_name":"wrist-worn accelerometers","score":0.7799999713897705},{"id":"https://openalex.org/keywords/gyroscope","display_name":"gyroscope","score":0.8820000290870667},{"id":"https://openalex.org/keywords/dietary-assessment","display_name":"dietary assessment","score":0.8009999990463257},{"id":"https://openalex.org/keywords/obesity","display_name":"obesity","score":0.6949999928474426},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"activity recognition","score":0.421999990940094},{"id":"https://openalex.org/keywords/sequential-dependencies","display_name":"sequential dependencies","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7988744378089905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078607082366943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046677231788635},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5637023448944092},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5124464631080627},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4858398139476776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4594700038433075},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.44601303339004517},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4140142798423767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3551364541053772},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32387256622314453},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.25833660364151},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11825001239776611},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2506583.2506596","doi":"https://doi.org/10.1145/2506583.2506596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506583.2506596","pdf_url":null,"source":{"id":"https://openalex.org/S7407087958","display_name":"ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.920.1344","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.920.1344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ces.clemson.edu/%7Eahoover/bite-counter/ACM-BCB-2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5683000087738037,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W181838091","https://openalex.org/W203985546","https://openalex.org/W787799275","https://openalex.org/W1663973292","https://openalex.org/W1997206502","https://openalex.org/W2004383878","https://openalex.org/W2020172718","https://openalex.org/W2022198541","https://openalex.org/W2035040039","https://openalex.org/W2050282683","https://openalex.org/W2062158347","https://openalex.org/W2095344888","https://openalex.org/W2105594594","https://openalex.org/W2112628161","https://openalex.org/W2123783347","https://openalex.org/W2127122874","https://openalex.org/W2143527605","https://openalex.org/W2149469183","https://openalex.org/W2151172917","https://openalex.org/W2165880886","https://openalex.org/W2590277307","https://openalex.org/W2786598106","https://openalex.org/W4212863985","https://openalex.org/W4249952775","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W6987842225","https://openalex.org/W1995435322","https://openalex.org/W2513424882","https://openalex.org/W2979875740","https://openalex.org/W2168907388","https://openalex.org/W1995330098","https://openalex.org/W2343288283","https://openalex.org/W3148273366","https://openalex.org/W4416144439","https://openalex.org/W2945628303"],"abstract_inverted_index":{"Advances":[0],"in":[1,21],"body":[2],"sensing":[3],"and":[4,35,48,59,74,113],"mobile":[5],"health":[6],"technology":[7],"have":[8],"created":[9],"new":[10],"opportunities":[11],"for":[12,32],"empowering":[13],"people":[14],"to":[15,54,76,83],"take":[16],"a":[17,97,108,119,125],"more":[18],"active":[19],"role":[20],"managing":[22],"their":[23],"health.":[24],"Measurements":[25],"of":[26,37,56,71,92,99,127,144,148],"dietary":[27],"intake":[28],"are":[29,67],"commonly":[30],"used":[31,43],"the":[33,40,63,69,89,130,136,145],"study":[34],"treatment":[36],"obesity.":[38],"However,":[39],"most":[41],"widely":[42],"tools":[44],"rely":[45],"upon":[46],"self-report":[47],"require":[49],"considerable":[50],"manual":[51],"effort,":[52],"leading":[53],"underreporting":[55],"consumption,":[57],"non-compliance,":[58],"discontinued":[60],"use":[61,70],"over":[62],"long":[64],"term.":[65],"We":[66],"investigating":[68],"wrist-worn":[72],"accelerometers":[73],"gyroscopes":[75],"automatically":[77],"recognize":[78],"eating":[79,151],"gestures.":[80],"In":[81],"order":[82],"improve":[84],"recognition":[85,116,153],"accuracy,":[86,140],"we":[87,106],"studied":[88],"sequential":[90,146],"dependency":[91],"actions":[93,101],"during":[94,150],"eating.":[95],"Using":[96],"set":[98],"four":[100],"(rest,":[102],"utensiling,":[103],"bite,":[104],"drink),":[105],"developed":[107],"hidden":[109],"Markov":[110],"model":[111],"(HMM)":[112],"compared":[114],"its":[115],"performance":[117],"against":[118],"non-sequential":[120],"classifier":[121],"(KNN).":[122],"Tested":[123],"on":[124],"dataset":[126],"20":[128],"meals,":[129],"KNN":[131],"achieved":[132,138],"71.7%":[133],"accuracy":[134],"while":[135],"HMM":[137],"84.3%":[139],"showing":[141],"that":[142],"knowledge":[143],"nature":[147],"activities":[149],"improves":[152],"accuracy.":[154]},"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":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}