{"id":"https://openalex.org/W3097958826","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237872","title":"Effective Smart Sensors Based Cognitive Infocommunications Weight Loss System","display_name":"Effective Smart Sensors Based Cognitive Infocommunications Weight Loss System","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3097958826","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237872","mag":"3097958826"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom50765.2020.9237872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","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/A5069748127","display_name":"Mustafa Al-Zaidi","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Mustafa Al-Zaidi","raw_affiliation_strings":["Faculty of Informatics, University Of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University Of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088024851","display_name":"Anik\u00f3 V\u00e1gner","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Aniko Vagner","raw_affiliation_strings":["Faculty of Informatics, University Of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University Of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069748127"],"corresponding_institution_ids":["https://openalex.org/I132735039"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14496881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"000073","last_page":"000078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12128","display_name":"AI in Service Interactions","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9315000176429749,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.920799970626831,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/weight-loss","display_name":"Weight loss","score":0.7383489608764648},{"id":"https://openalex.org/keywords/overweight","display_name":"Overweight","score":0.6078646183013916},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5972310304641724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5751772522926331},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5441213846206665},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.520948052406311},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5056564807891846},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.39935609698295593},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3916317820549011},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2814858555793762},{"id":"https://openalex.org/keywords/obesity","display_name":"Obesity","score":0.1833975613117218},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18239367008209229},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.11202162504196167}],"concepts":[{"id":"https://openalex.org/C544821477","wikidata":"https://www.wikidata.org/wiki/Q718113","display_name":"Weight loss","level":3,"score":0.7383489608764648},{"id":"https://openalex.org/C2780586474","wikidata":"https://www.wikidata.org/wiki/Q332428","display_name":"Overweight","level":3,"score":0.6078646183013916},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5972310304641724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751772522926331},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5441213846206665},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.520948052406311},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5056564807891846},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.39935609698295593},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3916317820549011},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2814858555793762},{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"score":0.1833975613117218},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18239367008209229},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.11202162504196167},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/coginfocom50765.2020.9237872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:dea.lib.unideb.hu:2437/297162","is_oa":false,"landing_page_url":"http://hdl.handle.net/2437/297162","pdf_url":null,"source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"el\u0151ad\u00e1skivonat"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1829619091","https://openalex.org/W1971415293","https://openalex.org/W1987588766","https://openalex.org/W2020914475","https://openalex.org/W2031534975","https://openalex.org/W2058091487","https://openalex.org/W2085456528","https://openalex.org/W2100295319","https://openalex.org/W2115459308","https://openalex.org/W2147786824","https://openalex.org/W2160151404","https://openalex.org/W2162996970","https://openalex.org/W2167658380","https://openalex.org/W2185859000","https://openalex.org/W2408161776","https://openalex.org/W2412081808","https://openalex.org/W2417442653","https://openalex.org/W2579041990","https://openalex.org/W2585988790","https://openalex.org/W2726772684","https://openalex.org/W2746959553","https://openalex.org/W2805636202","https://openalex.org/W3026954152","https://openalex.org/W4293569503","https://openalex.org/W6681550947","https://openalex.org/W6686508619","https://openalex.org/W6715390920","https://openalex.org/W6716653372"],"related_works":["https://openalex.org/W2102483815","https://openalex.org/W236355199","https://openalex.org/W1842607881","https://openalex.org/W2005900879","https://openalex.org/W2158854695","https://openalex.org/W2576345314","https://openalex.org/W2027430045","https://openalex.org/W186127209","https://openalex.org/W2070181048","https://openalex.org/W1976140952"],"abstract_inverted_index":{"Weight":[0],"loss":[1,115,137,184],"is":[2,56],"one":[3],"of":[4,50,59,76,148,158,181,192],"the":[5,51,122,144,162,182,188,200],"most":[6,58],"common":[7],"health":[8,16],"problems":[9],"nowadays.":[10],"It":[11,19,142],"can":[12,198],"affect":[13],"any":[14],"personal":[15],"and":[17,30,37,62,67,91,101,132,186,194],"lifestyle.":[18],"often":[20],"happens":[21],"that":[22,54,57,60,71,140,169,204],"we":[23,84],"meet":[24],"people":[25],"who":[26],"try":[27],"many":[28],"diet":[29,61,92,193],"workout":[31],"programs":[32,64,78],"to":[33,45,81,86,110,120,126,161,165],"lose":[34],"their":[35,47],"overweight":[36],"be":[38,153],"in":[39],"shape,":[40],"but":[41],"they":[42],"keep":[43],"failing":[44],"reach":[46],"goal.":[48],"One":[49],"causes":[52],"for":[53,70,93,139,203],"failure":[55],"exercise":[63,195],"are":[65,79],"general":[66],"not":[68],"designed":[69],"specific":[72],"person.":[73,141],"Although":[74],"some":[75],"these":[77],"built":[80],"fit":[82,191],"everybody,":[83],"need":[85],"create":[87],"a":[88,128,134,156,166,172,178],"training":[89],"program":[90,168],"each":[94],"person,":[95],"depending":[96],"on":[97,171],"his":[98,102],"body":[99,130,164],"type":[100],"genetic":[103],"information.":[104],"This":[105],"paper":[106],"uses":[107,143],"cognitive":[108],"infocomunication":[109],"introduce":[111],"an":[112],"effective":[113],"weight":[114,136,183],"system.":[116],"The":[117,174],"system":[118],"tries":[119],"increase":[121],"human":[123,163],"brain's":[124],"ability":[125],"understand":[127],"person's":[129],"characteristic,":[131],"develop":[133],"typical":[135],"plan":[138],"inter-cognitive":[145],"communication":[146,149],"mode":[147],"where":[150],"data":[151,175],"will":[152,176],"transferred":[154],"from":[155],"set":[157],"sensors":[159],"connected":[160],"software":[167],"runs":[170],"smartphone.":[173],"give":[177],"better":[179],"understanding":[180],"factors":[185],"result":[187,202],"best":[189,201],"mixture":[190],"program,":[196],"which":[197],"provide":[199],"body.":[205]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
