{"id":"https://openalex.org/W4402351747","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650434","title":"Adaptable Weighted Voting Fusion for Multi-modality-based Action Recognition","display_name":"Adaptable Weighted Voting Fusion for Multi-modality-based Action Recognition","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351747","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650434"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058467326","display_name":"Lijuan Zhou","orcid":"https://orcid.org/0000-0002-6418-6284"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Zhou","raw_affiliation_strings":["Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102466984","display_name":"Xiang Cai Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Meng","raw_affiliation_strings":["Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045533660","display_name":"Chenglong Zhang","orcid":"https://orcid.org/0000-0003-3135-0591"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Zhang","raw_affiliation_strings":["Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053436147","display_name":"Changyong Niu","orcid":"https://orcid.org/0009-0006-1970-3437"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyong Niu","raw_affiliation_strings":["Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou University,School of Computer and Artificial Intelligence,Zhengzhou,China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9969000220298767,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.7388780117034912},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7257866263389587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894381046295166},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5482795238494873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5298319458961487},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4654588997364044},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4637954831123352},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4365345537662506},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.43565812706947327},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.42688730359077454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3973817527294159},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.061081916093826294},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.053898364305496216}],"concepts":[{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.7388780117034912},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7257866263389587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894381046295166},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5482795238494873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5298319458961487},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4654588997364044},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4637954831123352},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4365345537662506},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.43565812706947327},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.42688730359077454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3973817527294159},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.061081916093826294},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.053898364305496216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2020082763","https://openalex.org/W2064851185","https://openalex.org/W2591961134","https://openalex.org/W2727718475","https://openalex.org/W2776217220","https://openalex.org/W2802503116","https://openalex.org/W2868292291","https://openalex.org/W2894879265","https://openalex.org/W2897506137","https://openalex.org/W2907503465","https://openalex.org/W2908138876","https://openalex.org/W2917797431","https://openalex.org/W2944006115","https://openalex.org/W2947084868","https://openalex.org/W2948058585","https://openalex.org/W2953787907","https://openalex.org/W2963076818","https://openalex.org/W2964134613","https://openalex.org/W3016234935","https://openalex.org/W3034309634","https://openalex.org/W3035225512","https://openalex.org/W3035570025","https://openalex.org/W3100437087","https://openalex.org/W3154985639","https://openalex.org/W3175528717","https://openalex.org/W3200114289","https://openalex.org/W4205831148","https://openalex.org/W4214746887","https://openalex.org/W4224932472","https://openalex.org/W4226382299","https://openalex.org/W4282943820","https://openalex.org/W4282981352","https://openalex.org/W4312708569","https://openalex.org/W4321231508","https://openalex.org/W4388207367","https://openalex.org/W4388207576","https://openalex.org/W6655231712","https://openalex.org/W6758342205","https://openalex.org/W6799538879","https://openalex.org/W6801567822","https://openalex.org/W6841707793"],"related_works":["https://openalex.org/W4312560343","https://openalex.org/W2096510549","https://openalex.org/W1750746579","https://openalex.org/W3182625625","https://openalex.org/W2913388591","https://openalex.org/W2130574884","https://openalex.org/W2148034952","https://openalex.org/W4308627432","https://openalex.org/W2026770740","https://openalex.org/W2142995730"],"abstract_inverted_index":{"In":[0,100],"action":[1,33,52,67],"recognition":[2,18],"tasks,":[3],"voting":[4,28,125],"fusion":[5,29,43,102,105,137],"can":[6],"be":[7],"used":[8,91],"to":[9,16,61,83,109,114],"combine":[10],"classification":[11],"results":[12],"from":[13],"multiple":[14],"modalities":[15],"improve":[17],"accuracy":[19],"and":[20,41,126],"robustness.":[21],"This":[22],"paper":[23],"proposes":[24],"a":[25,37,80],"novel":[26],"weighted":[27,124,128],"method":[30,40],"for":[31,65,72,92],"multi-modality-based":[32],"recognition,":[34],"which":[35,89],"includes":[36],"weight":[38,50,71],"generation":[39],"three":[42,104,133],"strategies":[44,106],"based":[45,57],"on":[46,58,132],"these":[47],"weights.":[48],"For":[49],"generation,":[51],"instances":[53],"are":[54,107],"first":[55],"classified":[56],"single":[59],"modality":[60,74,85,95,136],"obtain":[62,115],"prediction":[63],"scores":[64],"each":[66,73],"class.":[68],"An":[69],"adaptive":[70,112],"is":[75,90],"then":[76],"generated":[77],"by":[78],"assigning":[79],"higher":[81],"value":[82],"the":[84,94,101,111,116,139,142],"with":[86],"better":[87],"classification,":[88],"balancing":[93],"contributions":[96],"of":[97,135,141],"different":[98],"actions.":[99],"stage,":[103],"proposed":[108,143],"apply":[110],"weights":[113],"final":[117],"class":[118],"label,":[119],"including":[120],"maximum":[121,127],"fusion,":[122],"elimination":[123],"voting.":[129],"Experiments":[130],"conducted":[131],"kinds":[134],"demonstrate":[138],"effectiveness":[140],"method.":[144]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}