{"id":"https://openalex.org/W2409992351","doi":"https://doi.org/10.1109/rfid.2016.7488009","title":"Towards unobtrusive real-time fluid intake monitoring using passive UHF RFID","display_name":"Towards unobtrusive real-time fluid intake monitoring using passive UHF RFID","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2409992351","doi":"https://doi.org/10.1109/rfid.2016.7488009","mag":"2409992351"},"language":"en","primary_location":{"id":"doi:10.1109/rfid.2016.7488009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid.2016.7488009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on RFID (RFID)","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/A5032038453","display_name":"Asangi Jayatilaka","orcid":"https://orcid.org/0000-0003-2051-030X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Asangi Jayatilaka","raw_affiliation_strings":["The Auto-ID Lab, The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"The Auto-ID Lab, The University of Adelaide","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048703299","display_name":"Damith C. Ranasinghe","orcid":"https://orcid.org/0000-0002-2008-9255"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Damith C. Ranasinghe","raw_affiliation_strings":["The Auto-ID Lab, The University of Adelaide"],"affiliations":[{"raw_affiliation_string":"The Auto-ID Lab, The University of Adelaide","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032038453"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71389733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9959999918937683,"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":0.9959999918937683,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10986","display_name":"RFID technology advancements","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ultra-high-frequency","display_name":"Ultra high frequency","score":0.8811153173446655},{"id":"https://openalex.org/keywords/fluid-intake","display_name":"Fluid intake","score":0.7469710111618042},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.6619954109191895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5956953763961792},{"id":"https://openalex.org/keywords/container","display_name":"Container (type theory)","score":0.5168188214302063},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4699789583683014},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4658642113208771},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4590609669685364},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4118644595146179},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.33941650390625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2299746870994568},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19582781195640564},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18782302737236023},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10978004336357117},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.07346796989440918}],"concepts":[{"id":"https://openalex.org/C96122199","wikidata":"https://www.wikidata.org/wiki/Q628096","display_name":"Ultra high frequency","level":2,"score":0.8811153173446655},{"id":"https://openalex.org/C3017845882","wikidata":"https://www.wikidata.org/wiki/Q876776","display_name":"Fluid intake","level":2,"score":0.7469710111618042},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.6619954109191895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5956953763961792},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.5168188214302063},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4699789583683014},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4658642113208771},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4590609669685364},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4118644595146179},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.33941650390625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2299746870994568},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19582781195640564},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18782302737236023},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10978004336357117},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07346796989440918},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rfid.2016.7488009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rfid.2016.7488009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on RFID (RFID)","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/110059","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/110059","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/rfid.2016.7488009","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.49000000953674316,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1521589314","https://openalex.org/W1563666323","https://openalex.org/W1965597588","https://openalex.org/W2055450809","https://openalex.org/W2070924230","https://openalex.org/W2099183121","https://openalex.org/W2110153679","https://openalex.org/W2112628161","https://openalex.org/W2142235276","https://openalex.org/W2164986146","https://openalex.org/W6641691748"],"related_works":["https://openalex.org/W2036374021","https://openalex.org/W4285153716","https://openalex.org/W2673135913","https://openalex.org/W2331874935","https://openalex.org/W2890875378","https://openalex.org/W4236373924","https://openalex.org/W1031946321","https://openalex.org/W2479707740","https://openalex.org/W15399841","https://openalex.org/W2570100292"],"abstract_inverted_index":{"Over":[0],"or":[1,34],"under":[2],"consumption":[3],"of":[4,95,126,129],"fluids":[5],"can":[6],"lead":[7],"to":[8,17,69,91],"discomfort":[9],"and":[10,82],"diseases.":[11],"Monitoring":[12],"fluid":[13,28,46,136],"intake":[14,29,47,137],"is":[15,122],"important":[16],"make":[18],"sure":[19],"people":[20],"are":[21,31],"adequately":[22],"hydrated.":[23],"Current":[24],"approaches":[25],"for":[26,134,140],"automatic":[27],"monitoring":[30,48,135],"obtrusive,":[32],"expensive":[33],"maintenance":[35,44],"prone.":[36],"In":[37,73],"this":[38,119],"research,":[39],"we":[40,75],"propose":[41],"an":[42],"unobtrusive,":[43],"free":[45],"system":[49],"based":[50],"on":[51],"passive":[52,131],"(batteryless),":[53],"Ultra":[54],"High":[55],"Frequency":[56,59],"(UHF),":[57],"Radio":[58],"Identification":[60],"(RFID)":[61],"technology":[62,133],"by":[63],"attaching":[64],"a":[65,70,103,123],"single":[66],"RFID":[67,88,132],"tag":[68],"drinking":[71,97,143],"container.":[72],"particular,":[74],"employ":[76],"Received":[77],"Signal":[78],"Strength":[79],"Indicator":[80],"(RSSI)":[81],"phase":[83],"patterns":[84],"embedded":[85],"in":[86,102,118,138,145],"the":[87,127],"data":[89],"stream":[90],"recognize":[92],"individual":[93],"instances":[94],"natural":[96,142],"episodes.":[98],"We":[99],"conducted":[100],"experiments":[101],"realistic":[104],"setting":[105],"using":[106],"broadly":[107],"scripted":[108],"activity":[109],"routines":[110],"with":[111],"8":[112],"young":[113],"volunteers.":[114],"Promising":[115],"results":[116],"achieved":[117],"preliminary":[120],"investigation":[121],"strong":[124],"indication":[125],"possibility":[128],"employing":[130],"particular":[139],"recognizing":[141],"episodes":[144],"real":[146],"time.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
