{"id":"https://openalex.org/W4365420574","doi":"https://doi.org/10.1109/tmm.2023.3266603","title":"Human Activity Discovery With Automatic Multi-Objective Particle Swarm Optimization Clustering With Gaussian Mutation and Game Theory","display_name":"Human Activity Discovery With Automatic Multi-Objective Particle Swarm Optimization Clustering With Gaussian Mutation and Game Theory","publication_year":2023,"publication_date":"2023-04-12","ids":{"openalex":"https://openalex.org/W4365420574","doi":"https://doi.org/10.1109/tmm.2023.3266603"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3266603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3266603","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5039712455","display_name":"Parham Hadikhani","orcid":"https://orcid.org/0000-0002-4832-4368"},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"education","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":false,"raw_author_name":"Parham Hadikhani","raw_affiliation_strings":["School of Digital Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei"],"raw_orcid":"https://orcid.org/0000-0002-4832-4368","affiliations":[{"raw_affiliation_string":"School of Digital Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei","institution_ids":["https://openalex.org/I189462010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110190122","display_name":"Daphne Teck Ching Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"education","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":false,"raw_author_name":"Daphne Teck Ching Lai","raw_affiliation_strings":["School of Digital Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei","Institute of Applied Data Analytics, Universiti Brunei Darussalam, Brunei"],"raw_orcid":"https://orcid.org/0000-0001-8290-8941","affiliations":[{"raw_affiliation_string":"School of Digital Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei","institution_ids":["https://openalex.org/I189462010"]},{"raw_affiliation_string":"Institute of Applied Data Analytics, Universiti Brunei Darussalam, Brunei","institution_ids":["https://openalex.org/I189462010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007392788","display_name":"Wee-Hong Ong","orcid":"https://orcid.org/0000-0003-2667-1980"},"institutions":[{"id":"https://openalex.org/I189462010","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86","country_code":"BN","type":"education","lineage":["https://openalex.org/I189462010"]}],"countries":["BN"],"is_corresponding":false,"raw_author_name":"Wee-Hong Ong","raw_affiliation_strings":["School of Digital Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei","Institute of Applied Data Analytics, Universiti Brunei Darussalam, Brunei"],"raw_orcid":"https://orcid.org/0000-0003-2667-1980","affiliations":[{"raw_affiliation_string":"School of Digital Science, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei","institution_ids":["https://openalex.org/I189462010"]},{"raw_affiliation_string":"Institute of Applied Data Analytics, Universiti Brunei Darussalam, Brunei","institution_ids":["https://openalex.org/I189462010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4491,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.62090711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":null,"first_page":"420","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9908000230789185,"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":0.9908000230789185,"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":0.9689000248908997,"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/T13567","display_name":"AI and Multimedia in Education","score":0.9433000087738037,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7089886665344238},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7031978368759155},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.662432074546814},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5516624450683594},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5345536470413208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45411327481269836},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.45223990082740784},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4513191878795624},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.4429680407047272},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4325686991214752},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42559126019477844},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4236377775669098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3783438205718994},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2693520784378052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1767602562904358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7089886665344238},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7031978368759155},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.662432074546814},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5516624450683594},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5345536470413208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45411327481269836},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.45223990082740784},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4513191878795624},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.4429680407047272},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4325686991214752},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42559126019477844},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4236377775669098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3783438205718994},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2693520784378052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1767602562904358},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3266603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3266603","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G115701043","display_name":null,"funder_award_id":"UBD/RSCH/1.11/FICBF(b)/2019/001","funder_id":"https://openalex.org/F4320311019","funder_display_name":"Universiti Brunei Darussalam"},{"id":"https://openalex.org/G6839485721","display_name":null,"funder_award_id":"UBD/RSCH/1.18/FICBF(a)/2022/004","funder_id":"https://openalex.org/F4320311019","funder_display_name":"Universiti Brunei Darussalam"}],"funders":[{"id":"https://openalex.org/F4320311019","display_name":"Universiti Brunei Darussalam","ror":"https://ror.org/02qnf3n86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W159969481","https://openalex.org/W1585002319","https://openalex.org/W1608919060","https://openalex.org/W1739094370","https://openalex.org/W1973041621","https://openalex.org/W1984798172","https://openalex.org/W1985469025","https://openalex.org/W2014959021","https://openalex.org/W2017695267","https://openalex.org/W2030540300","https://openalex.org/W2032629834","https://openalex.org/W2052648922","https://openalex.org/W2058133537","https://openalex.org/W2075798683","https://openalex.org/W2086167429","https://openalex.org/W2116661285","https://openalex.org/W2123066915","https://openalex.org/W2143267104","https://openalex.org/W2143379662","https://openalex.org/W2145546283","https://openalex.org/W2151047074","https://openalex.org/W2158301611","https://openalex.org/W2165171393","https://openalex.org/W2165299997","https://openalex.org/W2167159964","https://openalex.org/W2181365890","https://openalex.org/W2184544926","https://openalex.org/W2199503811","https://openalex.org/W2247167922","https://openalex.org/W2290061803","https://openalex.org/W2487442924","https://openalex.org/W2510185399","https://openalex.org/W2523650384","https://openalex.org/W2593146028","https://openalex.org/W2599319023","https://openalex.org/W2603861860","https://openalex.org/W2787919227","https://openalex.org/W2883594635","https://openalex.org/W2890119807","https://openalex.org/W2895824136","https://openalex.org/W2905571172","https://openalex.org/W2962722475","https://openalex.org/W2964134613","https://openalex.org/W2970567068","https://openalex.org/W2973175805","https://openalex.org/W2982335217","https://openalex.org/W2987975616","https://openalex.org/W3000408165","https://openalex.org/W3000905812","https://openalex.org/W3009843393","https://openalex.org/W3009950717","https://openalex.org/W3011732937","https://openalex.org/W3023496198","https://openalex.org/W3023646756","https://openalex.org/W3034548564","https://openalex.org/W3035225512","https://openalex.org/W3069380482","https://openalex.org/W3081955377","https://openalex.org/W3092424783","https://openalex.org/W3105195350","https://openalex.org/W3156509901","https://openalex.org/W3159352788","https://openalex.org/W3162213370","https://openalex.org/W3170039146","https://openalex.org/W3171340595","https://openalex.org/W3173132072","https://openalex.org/W3203227473","https://openalex.org/W3209509092","https://openalex.org/W3211480015","https://openalex.org/W3214808272","https://openalex.org/W3216909972","https://openalex.org/W4206004984","https://openalex.org/W4206970937","https://openalex.org/W4210292036","https://openalex.org/W4210790938","https://openalex.org/W4226501520","https://openalex.org/W4242952145","https://openalex.org/W4285805172","https://openalex.org/W4286501277","https://openalex.org/W4312528573","https://openalex.org/W4378639082","https://openalex.org/W6606516132","https://openalex.org/W6685583355","https://openalex.org/W6753552102","https://openalex.org/W6810228838"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W4312141693","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1536009559","https://openalex.org/W2103821767","https://openalex.org/W1969185016"],"abstract_inverted_index":{"Despite":[0],"many":[1],"advances":[2],"in":[3,223,228],"Human":[4],"Activity":[5],"Recognition":[6],"(HAR),":[7],"most":[8],"existing":[9],"works":[10],"are":[11],"conducted":[12],"with":[13,155],"supervision.":[14],"Supervised":[15],"methods":[16],"rely":[17],"on":[18,44,149,167,210,252],"labeled":[19,24],"training":[20],"data.":[21],"However,":[22],"obtaining":[23],"data":[25],"is":[26,159,165,181,189,197],"difficult,":[27],"costly,":[28],"and":[29,47,153,193,232],"time-consuming.":[30],"In":[31,239],"this":[32,100,180],"paper,":[33],"we":[34,59,178],"introduce":[35],"an":[36],"automatic":[37],"multi-objective":[38,62,195,243],"particle":[39],"swarm":[40],"optimization":[41,89],"clustering":[42,63,250,255],"based":[43],"Gaussian":[45,163],"mutation":[46,164],"game":[48,66,201],"theory":[49,67,202],"(MOPGMGT)":[50],"to":[51,65,68,107,130,171,199,241],"provide":[52],"fully":[53,191],"unsupervised":[54],"human":[55,186,213,229],"activity":[56,187,214,230],"discovery.":[57],"Furthermore,":[58],"map":[60],"the":[61,70,80,108,112,116,125,132,137,143,146,150,156,168,182,200,206,217,220,225,234,245,249],"problem":[64,101],"get":[69],"best":[71,117,126,147,157,207,226],"optimal":[72,96,235],"solution.":[73,97,118,208],"The":[74],"proposed":[75,221],"algorithm":[76],"can":[77],"accurately":[78],"find":[79],"number":[81,236],"of":[82,139,142,219,237],"activities":[83],"without":[84],"any":[85],"prior":[86],"knowledge.":[87],"Multi-objective":[88],"problems":[90],"typically":[91],"cannot":[92],"have":[93],"a":[94,162,194],"single":[95],"We":[98],"solve":[99],"by":[102,135],"applying,":[103],"Nash":[104],"Equilibrium":[105],"(NE)":[106],"pareto":[109,169],"front":[110,170],"as":[111,145,177],"decision-making":[113],"for":[114,124,204],"choosing":[115,140],"NE":[119],"does":[120],"not":[121],"just":[122],"look":[123],"solution":[127,134,148],"but":[128],"tries":[129],"optimize":[131],"final":[133],"considering":[136],"effect":[138],"each":[141],"solutions":[144,152],"other":[151],"one":[154],"impact":[158],"chosen.":[160],"Moreover,":[161],"applied":[166],"avoid":[172],"premature":[173],"convergence.":[174],"As":[175],"far":[176],"know,":[179],"first":[183],"time":[184],"that":[185],"discovery":[188,231],"performed":[190],"unsupervised,":[192],"PSO":[196],"mapped":[198],"space":[203],"finding":[205],"Experiments":[209],"six":[211,253],"challenging":[212],"datasets":[215],"demonstrate":[216],"capability":[218],"approach":[222],"achieving":[224],"accuracy":[227],"determining":[233],"clusters.":[238],"comparison":[240],"well-known":[242],"algorithms,":[244],"MOPGMGT":[246],"significantly":[247],"improves":[248],"outcomes":[251],"benchmark":[254],"datasets.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
