{"id":"https://openalex.org/W4416250250","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227592","title":"MST-GFN: Multimodal Spatiotemporal Graph Fusion Network for Abnormal Gait Recognition Using Wearable Sensors and Skeleton Data","display_name":"MST-GFN: Multimodal Spatiotemporal Graph Fusion Network for Abnormal Gait Recognition Using Wearable Sensors and Skeleton Data","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250250","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227592"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5112196527","display_name":"Linna Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linna Chen","raw_affiliation_strings":["Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101424094","display_name":"Jianning Wu","orcid":"https://orcid.org/0000-0002-7250-1184"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianning Wu","raw_affiliation_strings":["Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111753288"],"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":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.974399983882904,"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":0.974399983882904,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.004399999976158142,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.0038999998942017555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7587000131607056},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6725000143051147},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5472000241279602},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5266000032424927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5182999968528748},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.48089998960494995},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.46459999680519104},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.444599986076355}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7587000131607056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708299994468689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827999949455261},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6725000143051147},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5472000241279602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5455999970436096},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5182999968528748},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.48089998960494995},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.46459999680519104},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.26019999384880066}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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"},{"id":"https://openalex.org/F4320326546","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2042105519","https://openalex.org/W2560253279","https://openalex.org/W2615540321","https://openalex.org/W2909657469","https://openalex.org/W2912664220","https://openalex.org/W2922370718","https://openalex.org/W2959800871","https://openalex.org/W2963076818","https://openalex.org/W3000884041","https://openalex.org/W3035400973","https://openalex.org/W3046302181","https://openalex.org/W3092746285","https://openalex.org/W3133566102","https://openalex.org/W3160257192","https://openalex.org/W3195852174","https://openalex.org/W3216785339","https://openalex.org/W4200455320","https://openalex.org/W4292793985","https://openalex.org/W4297798744","https://openalex.org/W4365146367","https://openalex.org/W4382934517","https://openalex.org/W4384283510","https://openalex.org/W4386065639","https://openalex.org/W4388634917","https://openalex.org/W4404995447","https://openalex.org/W4410986256"],"related_works":[],"abstract_inverted_index":{"The":[0],"local":[1,40,95],"abnormality":[2,44],"of":[3,29,117,141],"human":[4],"joints":[5],"or":[6],"bones":[7],"may":[8],"cause":[9],"a":[10,54,148],"change":[11],"in":[12],"the":[13,27,113,132,138],"global":[14,42,88],"gait":[15,24,31,43,64,76,89,96,121,128],"locomotion":[16],"function,":[17],"which":[18],"conveys":[19],"significant":[20,149],"information":[21],"associated":[22,98],"with":[23,99,137],"abnormality.":[25],"In":[26,49],"field":[28],"abnormal":[30,63],"recognition,":[32,65],"there":[33],"has":[34],"been":[35],"limited":[36],"research":[37],"on":[38,125],"extracting":[39],"and":[41,68,78,94],"features":[45,90,97,116],"to":[46,111,144],"improve":[47],"generalization.":[48],"this":[50],"work,":[51],"we":[52],"propose":[53],"multimodal":[55,74,127],"spatial-temporal":[56,80],"graph":[57,81],"fusion":[58,119],"network":[59],"(MST-GFN)":[60],"for":[61,120],"high-generalization":[62],"integrating":[66],"skeleton":[67,92],"wearable":[69,103],"sensor":[70,104],"data.":[71,105],"By":[72],"constructing":[73],"spatiotemporal":[75],"graphs":[77],"utilizing":[79],"convolutional":[82],"networks,":[83],"our":[84,109,126],"model":[85,110],"captures":[86],"both":[87],"from":[91,102],"data":[93],"coupling":[100],"interactions":[101],"This":[106],"approach":[107],"enables":[108],"obtain":[112],"most":[114],"discriminative":[115],"global-local":[118],"abnormalities.":[122],"Experimental":[123],"results":[124],"dataset":[129],"demonstrate":[130],"that":[131],"MST-GFN":[133],"achieves":[134],"state-of-the-art":[135],"performance":[136],"highest":[139],"accuracy":[140],"97.49%":[142],"compared":[143],"advanced":[145],"methods":[146],"by":[147],"margin.":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}
