{"id":"https://openalex.org/W4290097428","doi":"https://doi.org/10.1145/3524273.3533936","title":"Federated learning to understand human emotions via smart clothing","display_name":"Federated learning to understand human emotions via smart clothing","publication_year":2022,"publication_date":"2022-06-14","ids":{"openalex":"https://openalex.org/W4290097428","doi":"https://doi.org/10.1145/3524273.3533936"},"language":"en","primary_location":{"id":"doi:10.1145/3524273.3533936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524273.3533936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Multimedia Systems Conference","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/A5067778736","display_name":"Mary Pidgeon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095504","display_name":"Shannon Applied Biotechnology Centre","ror":"https://ror.org/00rve9x39","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210095504"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Mary Pidgeon","raw_affiliation_strings":["Technological University of the Shannon: Midlands, Athlone, Westmeath, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University of the Shannon: Midlands, Athlone, Westmeath, Ireland","institution_ids":["https://openalex.org/I4210095504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049371348","display_name":"Nadia Kanwal","orcid":"https://orcid.org/0000-0002-9732-3126"},"institutions":[{"id":"https://openalex.org/I56007636","display_name":"Keele University","ror":"https://ror.org/00340yn33","country_code":"GB","type":"education","lineage":["https://openalex.org/I56007636"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nadia Kanwal","raw_affiliation_strings":["Keele University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Keele University, United Kingdom","institution_ids":["https://openalex.org/I56007636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018444360","display_name":"Niall Murray","orcid":"https://orcid.org/0000-0002-5919-0596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niall Murray","raw_affiliation_strings":["Technological University of the Shannon: Midlands Athlone, Westmeath, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University of the Shannon: Midlands Athlone, Westmeath, Ireland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067778736"],"corresponding_institution_ids":["https://openalex.org/I4210095504"],"apc_list":null,"apc_paid":null,"fwci":0.37,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63376939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"408","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9266999959945679,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6713703870773315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6642319560050964},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.5877808928489685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5696607232093811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5562364459037781},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5229290723800659},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4969232380390167},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4719732701778412},{"id":"https://openalex.org/keywords/skin-conductance","display_name":"Skin conductance","score":0.454362690448761},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4128304123878479},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.41083893179893494},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3674919307231903},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19568383693695068},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18306049704551697},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1685749888420105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16557860374450684}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6713703870773315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642319560050964},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.5877808928489685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5696607232093811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562364459037781},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5229290723800659},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4969232380390167},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4719732701778412},{"id":"https://openalex.org/C111902132","wikidata":"https://www.wikidata.org/wiki/Q1326834","display_name":"Skin conductance","level":2,"score":0.454362690448761},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4128304123878479},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.41083893179893494},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3674919307231903},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19568383693695068},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18306049704551697},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1685749888420105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16557860374450684},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524273.3533936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524273.3533936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Multimedia Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2068503758","https://openalex.org/W2547146855","https://openalex.org/W2574833558","https://openalex.org/W2599124244","https://openalex.org/W2731964405","https://openalex.org/W2797131868","https://openalex.org/W2965127489","https://openalex.org/W2966996470","https://openalex.org/W3001838948","https://openalex.org/W3024825050","https://openalex.org/W3026748937","https://openalex.org/W3048428345","https://openalex.org/W3122925590","https://openalex.org/W3123459983","https://openalex.org/W3133785125","https://openalex.org/W3183410377","https://openalex.org/W3186864564"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459"],"abstract_inverted_index":{"This":[0],"paper":[1],"contains":[2],"the":[3,13,122,153,168],"research":[4,164],"proposal":[5],"of":[6],"Mary":[7],"Pidgeon":[8],"that":[9],"was":[10],"presented":[11],"at":[12],"MMSys":[14],"2022":[15],"doctoral":[16,135],"symposium.":[17],"Emotion":[18],"recognition":[19],"from":[20,84,103,175],"physiological":[21,42,149],"signals":[22,43],"has":[23,115],"seen":[24],"a":[25,81,90,108,140],"huge":[26],"growth":[27],"in":[28,66,80,170],"recent":[29],"decades.":[30],"Wearables":[31],"such":[32,44],"as":[33,45],"smart":[34,141],"watches":[35],"now":[36],"have":[37,62,73],"sensors":[38,61,177],"to":[39,76,106,146,166],"accurately":[40],"measure":[41],"electrocardiography":[46],"(ECG),":[47],"blood":[48],"volume":[49],"pressure":[50],"(BVP),":[51],"galvanic":[52],"skin":[53,57],"response":[54],"(GSR),":[55],"and":[56,128,178],"temperature":[58],"(ST).":[59],"These":[60],"also":[63],"been":[64,74],"embedded":[65],"textiles.":[67],"Collaborative":[68],"body":[69,143],"sensor":[70,144],"networks":[71],"(CBSN)":[72],"used":[75],"analyse":[77],"emotion":[78,171],"reactions":[79],"social":[82],"setting":[83],"heart":[85],"rate":[86],"sensors.":[87],"Federated":[88,113],"learning,":[89],"recently":[91],"proposed":[92],"machine":[93,110,125,158],"learning":[94,111,114,126],"paradigm,":[95],"protects":[96],"user's":[97,154],"private":[98],"information":[99,102],"while":[100,151],"using":[101,139,156],"several":[104,116],"users":[105],"train":[107],"global":[109],"model.":[112],"categorisations":[117],"based":[118],"on":[119],"data":[120,150,173],"partitioning,":[121],"privacy":[123,155],"mechanisms,":[124],"models":[127],"methods":[129],"for":[130],"solving":[131],"heterogeneity.":[132],"In":[133],"this":[134],"thesis,":[136],"we":[137],"propose":[138],"clothing":[142],"network":[145],"collect":[147],"peripheral":[148],"protecting":[152],"federated":[157,179],"learning.":[159,181],"We":[160],"present":[161],"three":[162],"primary":[163],"questions":[165],"address":[167],"challenges":[169],"prediction,":[172],"collection":[174],"e-textile":[176],"(FL)":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}