{"id":"https://openalex.org/W7133355250","doi":"https://doi.org/10.1109/ijcb65343.2025.11411435","title":"CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition","display_name":"CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W7133355250","doi":"https://doi.org/10.1109/ijcb65343.2025.11411435"},"language":null,"primary_location":{"id":"doi:10.1109/ijcb65343.2025.11411435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","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/A5040299847","display_name":"Junfang Zhou","orcid":"https://orcid.org/0009-0002-4435-0558"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Zhou","raw_affiliation_strings":["Wuhan University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127938493","display_name":"Haijun Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Xiong","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028877624","display_name":"Junhao Lu","orcid":"https://orcid.org/0000-0003-2558-6899"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Lu","raw_affiliation_strings":["Hefei University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037283185","display_name":"Ziyu Lin","orcid":"https://orcid.org/0000-0003-0532-0030"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyu Lin","raw_affiliation_strings":["Boston University,United States"],"affiliations":[{"raw_affiliation_string":"Boston University,United States","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100529411","display_name":"Bin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Feng","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040299847"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66196023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.0012000000569969416,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7304999828338623},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.538100004196167},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5044999718666077},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.484499990940094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4009000062942505},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.329800009727478}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7304999828338623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858999729156494},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.538100004196167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159000158309937},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5044999718666077},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.484499990940094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3630000054836273},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb65343.2025.11411435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11411435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1969850025","https://openalex.org/W2033000115","https://openalex.org/W2120146197","https://openalex.org/W2560243781","https://openalex.org/W2573985267","https://openalex.org/W2770823886","https://openalex.org/W2799041689","https://openalex.org/W2802441648","https://openalex.org/W2897665217","https://openalex.org/W2948058585","https://openalex.org/W2972637407","https://openalex.org/W2982294548","https://openalex.org/W2991276178","https://openalex.org/W3000373873","https://openalex.org/W3049455300","https://openalex.org/W3096609285","https://openalex.org/W3113811168","https://openalex.org/W3131085900","https://openalex.org/W3138516171","https://openalex.org/W3151130473","https://openalex.org/W3186008604","https://openalex.org/W3205898195","https://openalex.org/W3210908220","https://openalex.org/W4225672218","https://openalex.org/W4283377921","https://openalex.org/W4304098279","https://openalex.org/W4313126982","https://openalex.org/W4313291202","https://openalex.org/W4313477609","https://openalex.org/W4319302966","https://openalex.org/W4379015199","https://openalex.org/W4382449636","https://openalex.org/W4385245566","https://openalex.org/W4386065362","https://openalex.org/W4386065571","https://openalex.org/W4386158759","https://openalex.org/W4386702846","https://openalex.org/W4387665615","https://openalex.org/W4387969140","https://openalex.org/W4388686944","https://openalex.org/W4389610042","https://openalex.org/W4390872297","https://openalex.org/W4391787732","https://openalex.org/W4391791443","https://openalex.org/W4392979659","https://openalex.org/W4396877935","https://openalex.org/W4400580599","https://openalex.org/W4400647163","https://openalex.org/W4402660150","https://openalex.org/W4402715882","https://openalex.org/W4402716330","https://openalex.org/W4402727699","https://openalex.org/W4402727764","https://openalex.org/W4402896749","https://openalex.org/W4402917229","https://openalex.org/W4403791427","https://openalex.org/W4403842392","https://openalex.org/W4404425793","https://openalex.org/W4404439889","https://openalex.org/W4406260586","https://openalex.org/W4406911450","https://openalex.org/W4409365756","https://openalex.org/W7133223233"],"related_works":[],"abstract_inverted_index":{"Skeleton-based":[0],"gait":[1,54],"emotion":[2,55],"recognition":[3],"has":[4],"received":[5],"significant":[6],"attention":[7],"due":[8],"to":[9,27,48,70,78,92],"its":[10],"wide-ranging":[11],"applications.":[12],"However,":[13],"existing":[14],"methods":[15],"primarily":[16],"focus":[17],"on":[18,114],"extracting":[19],"spatial":[20,73],"and":[21,46,75,96,120],"local":[22],"temporal":[23,30,81],"motion":[24,97],"information,":[25],"failing":[26],"capture":[28,71],"long-range":[29],"representations.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,84],"propose":[36],"CGTGait,":[37],"a":[38,86],"novel":[39],"framework":[40],"that":[41,123],"collaboratively":[42],"integrates":[43],"graph":[44,68],"convolution":[45,69],"transformers":[47],"extract":[49],"discriminative":[50],"spatiotemporal":[51,98],"features":[52],"for":[53],"recognition.":[56],"Specifically,":[57],"CGTGait":[58,125],"consists":[59],"of":[60,103],"multiple":[61],"CGT":[62],"blocks,":[63],"where":[64],"each":[65],"block":[66],"employs":[67],"frame-level":[72],"topology":[74],"the":[76,101,107],"transformer":[77],"model":[79],"global":[80],"dependencies.":[82],"Additionally,":[83],"introduce":[85],"Bidirectional":[87],"Cross-Stream":[88],"Fusion":[89],"(BCSF)":[90],"module":[91],"effectively":[93],"aggregate":[94],"posture":[95],"features,":[99],"facilitating":[100],"exchange":[102],"complementary":[104],"information":[105],"between":[106],"two":[108,115],"streams.":[109],"We":[110],"evaluate":[111],"our":[112,124],"method":[113],"widely":[116],"used":[117],"datasets,":[118],"Emotion-Gait":[119],"ELMD,":[121],"demonstrating":[122],"achieves":[126],"state-of-the-art":[127],"or":[128],"at":[129,149],"least":[130],"competitive":[131],"performance":[132],"while":[133],"reducing":[134],"computational":[135],"complexity":[136],"by":[137],"approximately":[138],"82.2%":[139],"(only":[140],"requiring":[141],"0.34G":[142],"FLOPs)":[143],"during":[144],"testing.":[145],"Code":[146],"is":[147],"available":[148],"https://github.com/githubzjj1/CGTGait.":[150]},"counts_by_year":[],"updated_date":"2026-03-05T07:30:30.508283","created_date":"2026-03-04T00:00:00"}
