{"id":"https://openalex.org/W7160595808","doi":"https://doi.org/10.1145/3774906.3802763","title":"NutriEar: Robust Nutrition-Aware Food Classification from In-Ear Acoustic Signals","display_name":"NutriEar: Robust Nutrition-Aware Food Classification from In-Ear Acoustic Signals","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160595808","doi":"https://doi.org/10.1145/3774906.3802763"},"language":null,"primary_location":{"id":"doi:10.1145/3774906.3802763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802763","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774906.3802763","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135665463","display_name":"Zoey Xiaochen Tan","orcid":"https://orcid.org/0009-0008-6869-5888"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zoey Xiaochen Tan","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0008-6869-5888","affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356081","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-0866-0380"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Florida State University, Tallahassee, USA"],"raw_orcid":"https://orcid.org/0000-0002-2474-2004","affiliations":[{"raw_affiliation_string":"Florida State University, Tallahassee, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037751955","display_name":"Kayla-Jade Butkow","orcid":"https://orcid.org/0000-0002-5508-7188"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kayla-Jade Butkow","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-5508-7188","affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010623957","display_name":"Cecilia Mascolo","orcid":"https://orcid.org/0000-0001-9614-4380"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cecilia Mascolo","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-9614-4380","affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"588","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9437999725341797,"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":0.9437999725341797,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12057","display_name":"Consumer Attitudes and Food Labeling","score":0.003800000064074993,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5936999917030334},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5062999725341797},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4652000069618225},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4097000062465668},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.337799996137619},{"id":"https://openalex.org/keywords/classification-scheme","display_name":"Classification scheme","score":0.3359000086784363},{"id":"https://openalex.org/keywords/food-intake","display_name":"Food intake","score":0.31029999256134033}],"concepts":[{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5936999917030334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453000068664551},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5062999725341797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47589999437332153},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4097000062465668},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3199999928474426},{"id":"https://openalex.org/C3018685816","wikidata":"https://www.wikidata.org/wiki/Q213449","display_name":"Food intake","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.3043000102043152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774906.3802763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802763","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774906.3802763","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802763","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7005231380462646}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W32350682","https://openalex.org/W45694309","https://openalex.org/W1816579630","https://openalex.org/W1964678094","https://openalex.org/W1979008561","https://openalex.org/W1987692184","https://openalex.org/W2006910614","https://openalex.org/W2029748748","https://openalex.org/W2030667868","https://openalex.org/W2033545549","https://openalex.org/W2048941268","https://openalex.org/W2058018576","https://openalex.org/W2070555617","https://openalex.org/W2071792790","https://openalex.org/W2080300675","https://openalex.org/W2080984907","https://openalex.org/W2087082746","https://openalex.org/W2092633027","https://openalex.org/W2102981902","https://openalex.org/W2114646697","https://openalex.org/W2122897458","https://openalex.org/W2127122874","https://openalex.org/W2129380321","https://openalex.org/W2130347971","https://openalex.org/W2141686438","https://openalex.org/W2144165269","https://openalex.org/W2151703098","https://openalex.org/W2151826483","https://openalex.org/W2159137249","https://openalex.org/W2244564463","https://openalex.org/W2282823150","https://openalex.org/W2342048842","https://openalex.org/W2433903837","https://openalex.org/W2518483722","https://openalex.org/W2522966623","https://openalex.org/W2523701324","https://openalex.org/W2585425668","https://openalex.org/W2740597468","https://openalex.org/W2773473201","https://openalex.org/W2794466545","https://openalex.org/W2801254827","https://openalex.org/W2897073365","https://openalex.org/W2900320094","https://openalex.org/W2903560743","https://openalex.org/W2964022227","https://openalex.org/W2972422473","https://openalex.org/W2980035526","https://openalex.org/W3005797892","https://openalex.org/W3012321054","https://openalex.org/W3023116074","https://openalex.org/W3023503526","https://openalex.org/W3029790089","https://openalex.org/W3034498051","https://openalex.org/W3046243323","https://openalex.org/W3128223138","https://openalex.org/W3146171974","https://openalex.org/W3156132912","https://openalex.org/W3161279132","https://openalex.org/W3177678561","https://openalex.org/W4220928943","https://openalex.org/W4225015651","https://openalex.org/W4226442948","https://openalex.org/W4229056133","https://openalex.org/W4306248069","https://openalex.org/W4311721178","https://openalex.org/W4361760775","https://openalex.org/W4390498930","https://openalex.org/W4392563858","https://openalex.org/W4396919519","https://openalex.org/W4399358889","https://openalex.org/W4400980591","https://openalex.org/W4405096345","https://openalex.org/W4408788705","https://openalex.org/W4410987227","https://openalex.org/W4410987540","https://openalex.org/W4416926331","https://openalex.org/W4416926391","https://openalex.org/W7117481386"],"related_works":[],"abstract_inverted_index":{"Convenient":[0],"tracking":[1],"of":[2,22,62,107,207],"food":[3,108,117,130,182],"intake":[4,109],"is":[5],"essential":[6],"for":[7,89,104],"linking":[8],"diet":[9],"to":[10,31,83,123],"health,":[11],"enabling":[12,165],"personalised":[13],"nutrition":[14],"guidance,":[15],"early":[16],"metabolic":[17],"risk":[18],"detection,":[19],"and":[20,45,66,137,149,197],"prevention":[21],"chronic":[23],"disease.":[24],"Recent":[25],"wearable":[26],"sensing":[27,102,210],"advances":[28],"have":[29],"begun":[30],"automate":[32],"eating":[33,73,186],"monitoring.":[34],"However,":[35],"these":[36],"systems":[37],"largely":[38],"focus":[39],"on":[40,68,172],"detecting":[41],"when":[42],"users":[43,178],"eat":[44],"only":[46,58],"weakly":[47],"address":[48],"what":[49],"they":[50,76],"eat.":[51],"In":[52,93],"particular,":[53],"state-of-the-art":[54,199],"solutions":[55],"typically":[56],"cover":[57],"a":[59,151,166,173,212],"narrow":[60],"range":[61],"foods":[63],"or":[64],"textures":[65],"rely":[67],"strong":[69],"assumptions":[70],"about":[71],"individual":[72],"behaviour.":[74],"Moreover,":[75],"overlook":[77],"the":[78,204],"nutritional":[79,221],"implications":[80],"most":[81],"relevant":[82],"end":[84],"users,":[85],"limiting":[86],"their":[87],"usefulness":[88],"real-world":[90],"dietary":[91,217],"guidance.":[92],"this":[94],"paper,":[95],"we":[96],"present":[97],"NutriEar,":[98],"an":[99,124],"in-ear":[100,121,142],"audio":[101,143,209],"system":[103],"nutrition-aware":[105,168],"classification":[106,169],"from":[110,161,176],"chewing":[111,147],"sounds.":[112],"Rather":[113],"than":[114],"recognising":[115],"arbitrary":[116],"types,":[118],"NutriEar":[119,140,190],"maps":[120],"acoustics":[122],"eight-class":[125],"nutrition-texture":[126],"taxonomy":[127],"grounded":[128],"in":[129],"science,":[131],"capturing":[132],"both":[133],"dominant":[134],"macronutrient":[135],"role":[136],"mechanical":[138],"texture.":[139],"records":[141],"during":[144],"eating,":[145],"segments":[146],"events,":[148],"derives":[150],"hybrid":[152],"representation":[153],"combining":[154],"engineered":[155],"acoustic":[156],"features":[157],"with":[158,219],"learned":[159],"embeddings":[160],"supervised":[162],"contrastive":[163],"learning,":[164],"compact":[167],"pipeline.":[170],"Evaluation":[171],"dataset":[174],"collected":[175],"15":[177],"consuming":[179],"over":[180],"30":[181],"types":[183],"under":[184],"varied":[185],"conditions":[187],"shows":[188],"that":[189],"achieves":[191],"80.18%":[192],"average":[193],"leave-one-subject-out":[194],"(LOSO)":[195],"accuracy":[196],"outperforms":[198],"baselines.":[200],"These":[201],"results":[202],"highlight":[203],"untapped":[205],"potential":[206],"earable":[208],"as":[211],"practical":[213],"pathway":[214],"toward":[215],"everyday":[216],"monitoring":[218],"meaningful":[220],"insights.":[222]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-09T00:00:00"}