{"id":"https://openalex.org/W4385484623","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191782","title":"Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications","display_name":"Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484623","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191782"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.manchester.ac.uk/en/publications/e3fb4258-862d-4203-a46c-6d5963802d5c","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049842502","display_name":"Francesco Semeraro","orcid":"https://orcid.org/0000-0002-8812-0968"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Francesco Semeraro","raw_affiliation_strings":["The University of Manchester,Manchester Centre for Robotics and AI,Manchester,UK","Manchester Centre for Robotics and AI, The University of Manchester, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"The University of Manchester,Manchester Centre for Robotics and AI,Manchester,UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Manchester Centre for Robotics and AI, The University of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048515483","display_name":"Jon Carberry","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143731","display_name":"BAE Systems (United Kingdom)","ror":"https://ror.org/04p8ejq70","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210143731"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jon Carberry","raw_affiliation_strings":["BAE System (Operations) Ltd. BAE Systems plc.,Warton,UK","BAE System (Operations) Ltd. BAE Systems plc., Warton, UK"],"affiliations":[{"raw_affiliation_string":"BAE System (Operations) Ltd. BAE Systems plc.,Warton,UK","institution_ids":["https://openalex.org/I4210143731"]},{"raw_affiliation_string":"BAE System (Operations) Ltd. BAE Systems plc., Warton, UK","institution_ids":["https://openalex.org/I4210143731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091768977","display_name":"Angelo Cangelosi","orcid":"https://orcid.org/0000-0002-4709-2243"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Angelo Cangelosi","raw_affiliation_strings":["The University of Manchester,Manchester Centre for Robotics and AI,Manchester,UK","Manchester Centre for Robotics and AI, The University of Manchester, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"The University of Manchester,Manchester Centre for Robotics and AI,Manchester,UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Manchester Centre for Robotics and AI, The University of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049842502"],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":0.4913,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64759368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"09"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.998199999332428,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"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/computer-science","display_name":"Computer science","score":0.7587109208106995},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6397290229797363},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6294398903846741},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5325628519058228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5269212126731873},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.523257851600647},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4583221971988678},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44937896728515625},{"id":"https://openalex.org/keywords/statement","display_name":"Statement (logic)","score":0.41894832253456116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40693703293800354},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3874417841434479},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11575105786323547},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10056653618812561},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08564561605453491}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587109208106995},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6397290229797363},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6294398903846741},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5325628519058228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5269212126731873},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.523257851600647},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4583221971988678},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44937896728515625},{"id":"https://openalex.org/C2777026412","wikidata":"https://www.wikidata.org/wiki/Q2684591","display_name":"Statement (logic)","level":2,"score":0.41894832253456116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40693703293800354},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3874417841434479},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11575105786323547},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10056653618812561},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08564561605453491},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/e3fb4258-862d-4203-a46c-6d5963802d5c","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e3fb4258-862d-4203-a46c-6d5963802d5c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semeraro, F, Carberry , J & Cangelosi, A 2023, Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications. in International Joint Conference on Neural Networks (IJCNN 2023). https://doi.org/10.1109/IJCNN54540.2023.10191782","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/e3fb4258-862d-4203-a46c-6d5963802d5c","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e3fb4258-862d-4203-a46c-6d5963802d5c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semeraro, F, Carberry , J & Cangelosi, A 2023, Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications. in International Joint Conference on Neural Networks (IJCNN 2023). https://doi.org/10.1109/IJCNN54540.2023.10191782","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G4304790486","display_name":null,"funder_award_id":"2480772","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W107619411","https://openalex.org/W1542318638","https://openalex.org/W2050733302","https://openalex.org/W2071138783","https://openalex.org/W2097544529","https://openalex.org/W2259801182","https://openalex.org/W2399919752","https://openalex.org/W2530771494","https://openalex.org/W2594590268","https://openalex.org/W2609235478","https://openalex.org/W2739254393","https://openalex.org/W2741639990","https://openalex.org/W2759690896","https://openalex.org/W2765218414","https://openalex.org/W2773165593","https://openalex.org/W2792885057","https://openalex.org/W2912894472","https://openalex.org/W2951405459","https://openalex.org/W2963076818","https://openalex.org/W2976087063","https://openalex.org/W2979208443","https://openalex.org/W2993247505","https://openalex.org/W2993314850","https://openalex.org/W3012211643","https://openalex.org/W3014545861","https://openalex.org/W3024383962","https://openalex.org/W3035203002","https://openalex.org/W3091642002","https://openalex.org/W3094150764","https://openalex.org/W3115959388","https://openalex.org/W3129900808","https://openalex.org/W3131550873","https://openalex.org/W3156340046","https://openalex.org/W3176923516","https://openalex.org/W3196158188","https://openalex.org/W3206921000","https://openalex.org/W4211057885","https://openalex.org/W4225288453","https://openalex.org/W4240018458","https://openalex.org/W4296167601","https://openalex.org/W4312401853","https://openalex.org/W6734772259","https://openalex.org/W6753825669","https://openalex.org/W6768921561","https://openalex.org/W6882620788"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000"],"abstract_inverted_index":{"Human-robot":[0],"interaction":[1],"(HRI)":[2],"research":[3,24],"is":[4,25,171,232,239],"progressively":[5],"addressing":[6],"multi-party":[7],"scenarios,":[8],"where":[9],"a":[10,56,138,145],"robot":[11],"interacts":[12],"with":[13],"more":[14],"than":[15,54],"one":[16],"human":[17],"user":[18],"at":[19,27],"the":[20,102,158,162,201,206],"same":[21,202],"time.":[22],"Conversely,":[23],"still":[26],"an":[28,79],"early":[29],"stage":[30],"for":[31,67,182],"human-robot":[32],"collaboration":[33,45],"The":[34,166,214,229,236],"use":[35,175],"of":[36,44,64,82,108,118,120,150,161,164,176,197],"machine":[37],"learning":[38],"techniques":[39],"to":[40,52,92,100,135,156,173,191],"handle":[41],"such":[42,131],"type":[43],"requires":[46],"data":[47,84,90,177,194,219,237],"that":[48,169],"are":[49,220],"less":[50],"feasible":[51],"produce":[53],"in":[55,98,105,127,179,210],"typical":[57],"HRC":[58,69,184],"setup.":[59],"This":[60],"work":[61],"outlines":[62],"scenarios":[63],"concurrent":[65],"tasks":[66],"non-dyadic":[68],"applications.":[70],"Based":[71],"upon":[72],"these":[73,212],"concepts,":[74],"this":[75,113,180],"study":[76],"also":[77],"proposes":[78],"alternative":[80],"way":[81,181],"gathering":[83],"regarding":[85,195],"multi-user":[86],"activity,":[87],"by":[88],"collecting":[89],"related":[91,215],"single":[93,121],"users":[94,122,198],"and":[95,125,144,186,217],"merging":[96],"them":[97],"post-processing,":[99],"reduce":[101],"effort":[103],"involved":[104,209],"producing":[106,211],"recordings":[107],"pair":[109,183],"settings.":[110],"To":[111],"validate":[112],"statement,":[114],"3D":[115],"skeleton":[116],"poses":[117],"activity":[119],"were":[123,133],"collected":[124,178,218],"merged":[126],"pairs.":[128],"After":[129],"this,":[130],"datapoints":[132],"used":[134],"separately":[136],"train":[137],"long":[139],"short-term":[140],"memory":[141],"(LSTM)":[142],"network":[143],"variational":[146],"autoencoder":[147],"(VAE)":[148],"composed":[149],"spatio-temporal":[151],"graph":[152],"convolutional":[153],"networks":[154],"(STGCN)":[155],"recognise":[157],"joint":[159],"activities":[160],"pairs":[163],"people.":[165],"results":[167],"showed":[168],"it":[170],"possible":[172],"make":[174],"settings":[185],"get":[187],"similar":[188],"performances":[189],"compared":[190],"using":[192],"training":[193],"groups":[196],"recorded":[199],"under":[200],"settings,":[203],"relieving":[204],"from":[205],"technical":[207],"difficulties":[208],"data.":[213],"code":[216,230],"publicly":[221],"available":[222,233,240],"<sup":[223,226],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[224,227],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[225,228],"repository":[231,238],"at:":[234,241],"https://github.com/francescosemeraro/Multi_User_through_Single_User.git.":[235],"https://figshare.com/s/64bd023e968e6eb096f3..":[242]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
