{"id":"https://openalex.org/W7117504740","doi":"https://doi.org/10.1145/3714394.3755879","title":"Human Emotion Recognition by Fuzzy Spatial-Temporal Graph Convolution through Dynamic Action Videos","display_name":"Human Emotion Recognition by Fuzzy Spatial-Temporal Graph Convolution through Dynamic Action Videos","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7117504740","doi":"https://doi.org/10.1145/3714394.3755879"},"language":null,"primary_location":{"id":"doi:10.1145/3714394.3755879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3755879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","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/A5060342813","display_name":"Yi Huo","orcid":"https://orcid.org/0000-0002-5104-245X"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Huo","raw_affiliation_strings":["Educational Information Technology Department, Beijing Union University, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5104-245X","affiliations":[{"raw_affiliation_string":"Educational Information Technology Department, Beijing Union University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113576552","display_name":"Jiankang Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiankang Dong","raw_affiliation_strings":["Institute of Science and Technology Education, Beijing Union University, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-9150-3022","affiliations":[{"raw_affiliation_string":"Institute of Science and Technology Education, Beijing Union University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121481039","display_name":"Wei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Educational Information Technology Department, Beijing Union University, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-2352-0949","affiliations":[{"raw_affiliation_string":"Educational Information Technology Department, Beijing Union University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121508035","display_name":"Wenqi Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Zeng","raw_affiliation_strings":["Educational Information Technology Department, Beijing Union University, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-2159-6451","affiliations":[{"raw_affiliation_string":"Educational Information Technology Department, Beijing Union University, Beijing, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yinxia Zhang","orcid":"https://orcid.org/0009-0000-4964-0859"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinxia Zhang","raw_affiliation_strings":["Educational Information Technology Department, Beijing Union University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-4964-0859","affiliations":[{"raw_affiliation_string":"Educational Information Technology Department, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6547655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.982200026512146,"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":0.982200026512146,"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/T10057","display_name":"Face and Expression Recognition","score":0.0035000001080334187,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0034000000450760126,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.5942999720573425},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5920000076293945},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5357000231742859},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5339000225067139},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4490000009536743},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4449000060558319},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41350001096725464},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.392300009727478},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.38199999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238999962806702},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5942999720573425},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5920000076293945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.574400007724762},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5357000231742859},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4490000009536743},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41350001096725464},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.392300009727478},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.38199999928474426},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3409000039100647},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3271999955177307},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.2671999931335449},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C40346341","wikidata":"https://www.wikidata.org/wiki/Q1391629","display_name":"Facial Action Coding System","level":3,"score":0.2581999897956848},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3714394.3755879","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3714394.3755879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4088402986526489,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1981918162","https://openalex.org/W2060201949","https://openalex.org/W2486438534","https://openalex.org/W2963076818","https://openalex.org/W3139132409","https://openalex.org/W3197123612","https://openalex.org/W4285262401","https://openalex.org/W4289134328","https://openalex.org/W4378528083","https://openalex.org/W4385241202","https://openalex.org/W4387757604","https://openalex.org/W4388936714"],"related_works":[],"abstract_inverted_index":{"The":[0,55,102],"research":[1],"investigates":[2],"action-based":[3],"emotion":[4,36,49,69],"recognition,":[5],"an":[6],"underexplored":[7],"domain":[8],"compared":[9],"to":[10,28,51],"facial":[11],"expression":[12],"analysis.":[13],"It":[14],"uses":[15],"skeleton":[16],"sequences":[17],"for":[18],"their":[19],"computational":[20],"efficiency":[21],"and":[22,67],"intrinsic":[23],"graph-structured":[24],"representation.":[25],"In":[26],"contrast":[27],"prevailing":[29],"approaches":[30],"that":[31,64],"employ":[32],"either":[33],"oversimplified":[34],"discrete":[35],"categories":[37],"or":[38],"highly":[39],"specialized":[40],"valence-arousal":[41],"dimensional":[42,66],"representations,":[43],"it":[44,86],"incorporates":[45],"a":[46,59],"comprehensive":[47],"29-category":[48],"taxonomy":[50],"achieve":[52],"finer-grained":[53],"classification.":[54],"technical":[56],"contribution":[57],"includes":[58],"novel":[60],"fuzzy":[61,92],"transformation":[62],"mechanism":[63],"bridges":[65],"categorical":[68],"spaces":[70],"through":[71],"membership":[72],"functions,":[73],"thereby":[74],"facilitating":[75],"the":[76,97,100],"utilization":[77],"of":[78,99],"existing":[79],"annotated":[80],"datasets":[81],"while":[82],"maintaining":[83],"interpretability.":[84],"Furthermore,":[85],"enhances":[87],"classification":[88],"robustness":[89],"by":[90],"incorporating":[91],"set":[93],"theory.":[94],"Experiments":[95],"substantiate":[96],"efficacy":[98],"approach.":[101],"code":[103],"is":[104],"publicly":[105],"available":[106],"on":[107],"GitHub:":[108],"https://github.com/YeeHoran/Fuzzy-Human-Action-based-Emotion-Recognition.":[109]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-29T00:00:00"}