{"id":"https://openalex.org/W4306178211","doi":"https://doi.org/10.1145/3544793.3560326","title":"Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection","display_name":"Smart Cup: An impedance sensing based fluid intake monitoring system for beverages classification and freshness detection","publication_year":2022,"publication_date":"2022-09-11","ids":{"openalex":"https://openalex.org/W4306178211","doi":"https://doi.org/10.1145/3544793.3560326"},"language":"en","primary_location":{"id":"doi:10.1145/3544793.3560326","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3544793.3560326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.06285","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101623985","display_name":"Mengxi Liu","orcid":"https://orcid.org/0000-0003-0527-1208"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mengxi Liu","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Germany"],"raw_orcid":"https://orcid.org/0000-0003-0527-1208","affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066958860","display_name":"Sizhen Bian","orcid":"https://orcid.org/0000-0001-6760-5539"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sizhen Bian","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Germany"],"raw_orcid":"https://orcid.org/0000-0001-6760-5539","affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059956294","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0002-8976-5960"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Germany"],"raw_orcid":"https://orcid.org/0000-0002-8976-5960","affiliations":[{"raw_affiliation_string":"Embedded Intelligence, German Research Center for Artificial Intelligence (DFKI), Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034531247","display_name":"Agnes Gruenerbl","orcid":"https://orcid.org/0000-0002-4156-7121"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Agnes Gruenerbl","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Germany"],"raw_orcid":"https://orcid.org/0000-0002-4156-7121","affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063453660","display_name":"Paul Lukowicz","orcid":"https://orcid.org/0000-0003-0320-6656"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Lukowicz","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Germany"],"raw_orcid":"https://orcid.org/0000-0003-0320-6656","affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101623985"],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":0.2453,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47646939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11584","display_name":"Biochemical Analysis and Sensing Techniques","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.6753638982772827},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5746593475341797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5132381916046143},{"id":"https://openalex.org/keywords/focused-impedance-measurement","display_name":"Focused Impedance Measurement","score":0.48188215494155884},{"id":"https://openalex.org/keywords/phase-angle","display_name":"Phase angle (astronomy)","score":0.46309828758239746},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.45756959915161133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45034947991371155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3747149407863617},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22707223892211914},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.20551690459251404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17668837308883667},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10307702422142029},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.095378577709198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09339794516563416}],"concepts":[{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.6753638982772827},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5746593475341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5132381916046143},{"id":"https://openalex.org/C172066009","wikidata":"https://www.wikidata.org/wiki/Q5463955","display_name":"Focused Impedance Measurement","level":3,"score":0.48188215494155884},{"id":"https://openalex.org/C170222088","wikidata":"https://www.wikidata.org/wiki/Q2059855","display_name":"Phase angle (astronomy)","level":2,"score":0.46309828758239746},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.45756959915161133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45034947991371155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3747149407863617},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22707223892211914},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.20551690459251404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17668837308883667},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10307702422142029},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.095378577709198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09339794516563416}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3544793.3560326","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3544793.3560326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2210.06285","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.06285","pdf_url":"https://arxiv.org/pdf/2210.06285","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.06285","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.06285","pdf_url":"https://arxiv.org/pdf/2210.06285","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2029748748","https://openalex.org/W2071856997","https://openalex.org/W2736042217","https://openalex.org/W3047601065"],"related_works":["https://openalex.org/W2545105407","https://openalex.org/W2516888427","https://openalex.org/W1530957495","https://openalex.org/W2562155397","https://openalex.org/W2375936545","https://openalex.org/W2752941547","https://openalex.org/W1990323938","https://openalex.org/W2333316656","https://openalex.org/W2072189119","https://openalex.org/W2039908213"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,73,107],"novel":[4],"beverage":[5,13,65,86],"intake":[6],"monitoring":[7],"system":[8,26],"that":[9,70],"can":[10],"accurately":[11],"recognize":[12],"kinds":[14,125],"and":[15,51,59,61,98,128],"freshness.":[16],"By":[17],"mounting":[18],"carbon":[19],"electrodes":[20],"on":[21],"the":[22,25,28,33,36,40,44,52,89,119],"commercial":[23],"cup,":[24],"measures":[27],"electrochemical":[29,45],"impedance":[30,46],"spectrum":[31,47],"of":[32,43,54,126],"fluid":[34],"in":[35,118],"cup.":[37],"We":[38],"studied":[39],"frequency":[41,91],"sensitivity":[42],"regarding":[48],"distinct":[49],"beverages":[50],"importance":[53],"features":[55,71],"like":[56],"amplitude,":[57],"phase,":[58],"real":[60],"imaginary":[62],"components":[63],"for":[64,85],"classification.":[66],"The":[67,112],"results":[68],"show":[69],"from":[72],"low-frequency":[74],"domain":[75],"(100":[76],"Hz":[77],"to":[78],"1000":[79],"Hz)":[80],"provide":[81],"more":[82],"meaningful":[83],"information":[84],"classification":[87],"than":[88],"higher":[90],"domain.":[92],"Twenty":[93],"beverages,":[94],"including":[95],"carbonated":[96],"drinks":[97],"juices,":[99],"were":[100,131],"classified":[101],"with":[102],"nearly":[103],"perfect":[104],"accuracy":[105],"using":[106],"supervised":[108],"machine":[109],"learning":[110],"approach.":[111],"same":[113],"performance":[114],"was":[115],"also":[116],"observed":[117],"freshness":[120],"recognition,":[121],"where":[122],"four":[123],"different":[124],"milk":[127],"fruit":[129],"juice":[130],"studied.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2022-10-14T00:00:00"}
