{"id":"https://openalex.org/W4406327823","doi":"https://doi.org/10.1145/3706890.3707047","title":"3D Convolutional Driven Transformer for Fatigue Action Recognition in Stroke Rehabilitation","display_name":"3D Convolutional Driven Transformer for Fatigue Action Recognition in Stroke Rehabilitation","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406327823","doi":"https://doi.org/10.1145/3706890.3707047"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3707047","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3707047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":null,"display_name":"Zhihao Wang","orcid":"https://orcid.org/0009-0008-1334-4669"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Wang","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-1334-4669","affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenxuan Li","orcid":"https://orcid.org/0009-0002-7026-1671"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenxuan Li","raw_affiliation_strings":["Montverde Academy, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-7026-1671","affiliations":[{"raw_affiliation_string":"Montverde Academy, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000192508","display_name":"Yiming Fan","orcid":"https://orcid.org/0000-0002-9640-7459"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Fan","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9640-7459","affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027763331","display_name":"Xiaofeng Lu","orcid":"https://orcid.org/0000-0001-7412-4290"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Lu","raw_affiliation_strings":["Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7412-4290","affiliations":[{"raw_affiliation_string":"Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30798088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"916","last_page":"922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9686999917030334,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9379000067710876,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6923813819885254},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6204891204833984},{"id":"https://openalex.org/keywords/rehabilitation","display_name":"Rehabilitation","score":0.5862596035003662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5195384621620178},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.4170289635658264},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.3996519148349762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3568604588508606},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35547924041748047},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27957719564437866},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.17218664288520813},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16120314598083496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1611650586128235},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.09090101718902588},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.07251474261283875}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6923813819885254},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6204891204833984},{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.5862596035003662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5195384621620178},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.4170289635658264},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.3996519148349762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3568604588508606},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35547924041748047},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27957719564437866},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.17218664288520813},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16120314598083496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1611650586128235},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09090101718902588},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.07251474261283875},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3707047","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3707047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":3,"referenced_works":["https://openalex.org/W3126721948","https://openalex.org/W4287336254","https://openalex.org/W7093349750"],"related_works":["https://openalex.org/W2065866188","https://openalex.org/W2468580946","https://openalex.org/W2064410155","https://openalex.org/W2331071954","https://openalex.org/W2360512056","https://openalex.org/W4289519383","https://openalex.org/W291986995","https://openalex.org/W2403685834","https://openalex.org/W2403558059","https://openalex.org/W4283332100"],"abstract_inverted_index":{"Stroke":[0],"patients":[1,44,81],"often":[2],"experience":[3],"a":[4,116,124,192],"substantial":[5,67],"deterioration":[6],"in":[7,42,82,111,141,153,175],"physical":[8],"fitness":[9],"and":[10,52,79,92,106,123,177,197,205],"are":[11,133],"susceptible":[12],"to":[13,19,76,103],"fatigue":[14,40,59,85,104,168,180],"during":[15,45],"rehabilitation":[16,46],"training":[17,47],"due":[18],"damage":[20],"inflicted":[21],"on":[22,55,69,166,184],"their":[23],"central":[24],"nervous":[25],"system.":[26],"In":[27],"clinical":[28],"practice,":[29],"the":[30,56,66,99,112,137,142,145,149,154,159,167,178,187,203,208],"implementation":[31],"of":[32,39,58,139,148,195,207],"computer":[33],"vision":[34],"algorithms":[35],"for":[36],"intelligent":[37],"recognition":[38,87],"states":[41],"stroke":[43,185],"can":[48,63],"offer":[49],"timely":[50],"reminders":[51],"interventions":[53],"based":[54,183],"level":[57],"occurrence.":[60],"This":[61],"approach":[62],"effectively":[64,97],"alleviate":[65],"burden":[68],"medical":[70],"personnel":[71],"who":[72],"would":[73],"otherwise":[74],"need":[75],"continuously":[77],"monitor":[78],"document":[80],"real-time.":[83],"A":[84],"action":[86,105,150,181],"algorithm":[88],"that":[89],"combines":[90],"3D-CNN":[91],"Transformer":[93,211],"is":[94,156],"proposed.":[95],"To":[96],"highlight":[98],"key":[100],"areas":[101],"related":[102],"suppress":[107],"other":[108],"visual":[109],"noise":[110],"natural":[113],"shooting":[114],"frame,":[115],"feature":[117],"segmentation":[118],"structure":[119],"with":[120,128],"3D":[121,130,209],"window":[122,125],"merging":[126],"mechanism":[127],"self-training":[129],"bell":[131],"weight":[132],"designed.":[134],"By":[135],"processing":[136],"mean":[138],"features":[140],"time":[143],"dimension,":[144],"representation":[146],"coefficient":[147],"relationship":[151],"contained":[152],"sequence":[155],"obtained,":[157],"enhancing":[158],"discernability":[160],"between":[161],"adjacent":[162],"similar":[163],"frames.":[164],"Based":[165],"driving":[169],"dataset":[170,182],"published":[171],"by":[172],"Tsinghua":[173],"University":[174],"Taiwan":[176],"private":[179],"patients,":[186],"proposed":[188],"method":[189],"has":[190],"achieved":[191],"Top-1":[193],"accuracy":[194],"75.35%":[196],"70.83%,":[198],"respectively.":[199],"These":[200],"results":[201],"prove":[202],"feasibility":[204],"effectiveness":[206],"CNN-driven":[210],"architecture.":[212]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}