{"id":"https://openalex.org/W4417337064","doi":"https://doi.org/10.1109/jiot.2025.3644247","title":"DietWatch: Fine-Grained and Robust Dietary Monitoring via Smartwatch in Real-World Scenarios","display_name":"DietWatch: Fine-Grained and Robust Dietary Monitoring via Smartwatch in Real-World Scenarios","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W4417337064","doi":"https://doi.org/10.1109/jiot.2025.3644247"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3644247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3644247","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5103460255","display_name":"Zhen Ting Hou","orcid":"https://orcid.org/0009-0000-4313-6133"},"institutions":[{"id":"https://openalex.org/I4388446366","display_name":"Indiana University Indianapolis","ror":"https://ror.org/03eftgw80","country_code":"US","type":"education","lineage":["https://openalex.org/I4388446366","https://openalex.org/I592451"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhen Hou","raw_affiliation_strings":["Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis, Indianapolis, IN, USA"],"raw_orcid":"https://orcid.org/0009-0000-4313-6133","affiliations":[{"raw_affiliation_string":"Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427","https://openalex.org/I4388446366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078477275","display_name":"Yucheng Xie","orcid":"https://orcid.org/0000-0001-5830-6625"},"institutions":[{"id":"https://openalex.org/I19772626","display_name":"Yeshiva University","ror":"https://ror.org/045x93337","country_code":"US","type":"education","lineage":["https://openalex.org/I19772626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yucheng Xie","raw_affiliation_strings":["Department of Graduate Computer Science and Engineering, Katz School of Science and Health, Yeshiva University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5830-6625","affiliations":[{"raw_affiliation_string":"Department of Graduate Computer Science and Engineering, Katz School of Science and Health, Yeshiva University, New York, NY, USA","institution_ids":["https://openalex.org/I19772626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448828","display_name":"Feng Li","orcid":"https://orcid.org/0000-0001-7633-7863"},"institutions":[{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]},{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["Department of Computer and Information Technology, Purdue University in Indianapolis, Indianapolis, IN, USA"],"raw_orcid":"https://orcid.org/0000-0001-7633-7863","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Technology, Purdue University in Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengyi Liu","orcid":"https://orcid.org/0009-0006-2041-0877"},"institutions":[{"id":"https://openalex.org/I19772626","display_name":"Yeshiva University","ror":"https://ror.org/045x93337","country_code":"US","type":"education","lineage":["https://openalex.org/I19772626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengyi Liu","raw_affiliation_strings":["Department of Graduate Computer Science and Engineering, Katz School of Science and Health, Yeshiva University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0006-2041-0877","affiliations":[{"raw_affiliation_string":"Department of Graduate Computer Science and Engineering, Katz School of Science and Health, Yeshiva University, New York, NY, USA","institution_ids":["https://openalex.org/I19772626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100419573","display_name":"Honggang Wang","orcid":"https://orcid.org/0000-0001-9475-2630"},"institutions":[{"id":"https://openalex.org/I19772626","display_name":"Yeshiva University","ror":"https://ror.org/045x93337","country_code":"US","type":"education","lineage":["https://openalex.org/I19772626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Honggang Wang","raw_affiliation_strings":["Department of Graduate Computer Science and Engineering, Katz School of Science and Health, Yeshiva University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-9475-2630","affiliations":[{"raw_affiliation_string":"Department of Graduate Computer Science and Engineering, Katz School of Science and Health, Yeshiva University, New York, NY, USA","institution_ids":["https://openalex.org/I19772626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103460255"],"corresponding_institution_ids":["https://openalex.org/I4388446366","https://openalex.org/I55769427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49249381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"6","first_page":"10233","last_page":"10246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.641700029373169,"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"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.641700029373169,"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.11739999800920486,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.041999999433755875,"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/smartwatch","display_name":"Smartwatch","score":0.8517000079154968},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5684000253677368},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.46399998664855957},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.3617999851703644},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.3400000035762787},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.30390000343322754},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3028999865055084},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.3019999861717224}],"concepts":[{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.8517000079154968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7590000033378601},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5684000253677368},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42100000381469727},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34049999713897705},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.3400000035762787},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31470000743865967},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2759999930858612},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C195548491","wikidata":"https://www.wikidata.org/wiki/Q7448152","display_name":"Self-monitoring","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C2909484148","wikidata":"https://www.wikidata.org/wiki/Q43656","display_name":"Dietary Cholesterol","level":3,"score":0.2599000036716461}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3644247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3644247","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W203985546","https://openalex.org/W1934290066","https://openalex.org/W1950788856","https://openalex.org/W1995330098","https://openalex.org/W2001877520","https://openalex.org/W2007817238","https://openalex.org/W2051639587","https://openalex.org/W2080853390","https://openalex.org/W2089195700","https://openalex.org/W2090037365","https://openalex.org/W2115144768","https://openalex.org/W2116790911","https://openalex.org/W2128944537","https://openalex.org/W2138621090","https://openalex.org/W2144685889","https://openalex.org/W2157331557","https://openalex.org/W2262806837","https://openalex.org/W2547661121","https://openalex.org/W2579162453","https://openalex.org/W2609956602","https://openalex.org/W2614352131","https://openalex.org/W2696967604","https://openalex.org/W2747047953","https://openalex.org/W2754630480","https://openalex.org/W2754998475","https://openalex.org/W2793756233","https://openalex.org/W2891344401","https://openalex.org/W2952218014","https://openalex.org/W2965554244","https://openalex.org/W3000269942","https://openalex.org/W3011074022","https://openalex.org/W3014606255","https://openalex.org/W3019433526","https://openalex.org/W3029790089","https://openalex.org/W3030996222","https://openalex.org/W3034498051","https://openalex.org/W3085166411","https://openalex.org/W3089851637","https://openalex.org/W3095188206","https://openalex.org/W3105563334","https://openalex.org/W3134914019","https://openalex.org/W3172863135","https://openalex.org/W3193905694","https://openalex.org/W4229456303","https://openalex.org/W4285079306","https://openalex.org/W4295073979","https://openalex.org/W4296783397","https://openalex.org/W4312349588","https://openalex.org/W4376851210","https://openalex.org/W4390939290","https://openalex.org/W4400275870","https://openalex.org/W4416144288"],"related_works":[],"abstract_inverted_index":{"Dietary":[0],"behaviors":[1],"play":[2],"a":[3,24,60,67,81,95,124,133],"pivotal":[4],"role":[5],"in":[6,40,179],"promoting":[7],"overall":[8],"health":[9],"and":[10,16,48,72,89,112,153,156,182,192],"preventing":[11],"chronic":[12],"diseases":[13],"(e.g.,":[14],"hypertension":[15],"diabetes).":[17],"The":[18],"widespread":[19],"adoption":[20],"of":[21,186],"smartwatches":[22],"offers":[23],"promising":[25],"platform":[26],"for":[27,173,189,195],"continuous":[28],"dietary":[29,34,62,75,140],"monitoring.":[30],"However,":[31],"existing":[32],"smartwatch-based":[33],"monitoring":[35,63],"approaches":[36],"struggle":[37],"with":[38],"challenges":[39],"real-world":[41,61],"scenarios,":[42],"including":[43],"dynamic":[44,82],"interference,":[45],"gesture":[46],"generalization,":[47],"user":[49],"diversity.":[50],"To":[51,115],"address":[52],"these":[53],"limitations,":[54],"we":[55],"propose":[56],"<italic":[57,77,120,164],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[58,78,121,165],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DietWatch</i>,":[59],"system":[64],"that":[65,163],"utilizes":[66],"commercial":[68],"smartwatch":[69],"to":[70,86,99,128,138,150],"capture":[71],"analyze":[73,151],"fine-grained":[74],"behaviors.":[76],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DietWatch</i>":[79,122,166],"incorporates":[80],"interference":[83],"mitigation":[84],"module":[85],"suppress":[87],"acoustic":[88],"inertial":[90],"noise.":[91],"It":[92],"further":[93],"employs":[94],"contrastive":[96],"learning-based":[97],"framework":[98],"distinguish":[100],"eating":[101,110,174],"gestures":[102],"from":[103],"diverse":[104],"daily":[105],"activities,":[106],"without":[107],"constraining":[108],"users\u2019":[109],"styles":[111],"activity":[113],"types.":[114],"enhance":[116],"generalizability":[117],"across":[118],"users,":[119],"adopts":[123],"cross-user":[125],"adaptation":[126],"mechanism":[127],"extract":[129],"user-independent":[130],"features.":[131],"Furthermore,":[132],"clustering":[134],"algorithm":[135],"is":[136,148],"designed":[137],"estimate":[139],"time,":[141],"while":[142],"an":[143],"attention-based":[144],"multimodal":[145],"fusion":[146],"method":[147],"employed":[149],"biting":[152,190],"chewing":[154,196],"frequencies":[155],"identify":[157],"food":[158,180],"categories.":[159],"Experimental":[160],"results":[161],"demonstrate":[162],"achieves":[167],"79.95%":[168],"temporal":[169],"Intersection":[170],"over":[171],"Union":[172],"time":[175],"detection,":[176],"85.68%":[177],"accuracy":[178],"classification,":[181],"mean":[183],"absolute":[184],"errors":[185],"1.26":[187],"bites/min":[188],"frequency":[191,197],"7.71":[193],"chews/min":[194],"estimation.":[198]},"counts_by_year":[],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2025-12-15T00:00:00"}
