{"id":"https://openalex.org/W7163652266","doi":"https://doi.org/10.1007/s44443-026-00808-1","title":"HHANet: a human hand acupoint key point detection network based on multi-scale fusion and transformer","display_name":"HHANet: a human hand acupoint key point detection network based on multi-scale fusion and transformer","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7163652266","doi":"https://doi.org/10.1007/s44443-026-00808-1"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-026-00808-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00808-1","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44443-026-00808-1","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056155968","display_name":"Pengcheng Wen","orcid":"https://orcid.org/0000-0001-7258-8323"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengcheng Wen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338276","display_name":"Huihui Li","orcid":"https://orcid.org/0000-0003-0463-8178"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihui Li","raw_affiliation_strings":["School of Computer Science ,  Guangdong Polytechnic Normal University, guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science ,  Guangdong Polytechnic Normal University, guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056155968"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":{"value":1990,"currency":"USD","value_usd":1990},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55755405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.1543000042438507,"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":0.1543000042438507,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.14589999616146088,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.11069999635219574,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5370000004768372},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5350000262260437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5260000228881836},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4056999981403351},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3919999897480011},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3840000033378601},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.3808000087738037},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3774000108242035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139000296592712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7027999758720398},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5370000004768372},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5350000262260437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4023999869823456},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3808000087738037},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3025999963283539},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-026-00808-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00808-1","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bb48f5b418ce4cd0aa31cec7da0c1313","is_oa":false,"landing_page_url":"https://doaj.org/article/bb48f5b418ce4cd0aa31cec7da0c1313","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 6 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-026-00808-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00808-1","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2064206210","https://openalex.org/W2770692907","https://openalex.org/W2796417745","https://openalex.org/W2982606590","https://openalex.org/W3138516171","https://openalex.org/W3171398643","https://openalex.org/W3176939804","https://openalex.org/W4281490773","https://openalex.org/W4288062543","https://openalex.org/W4306795667","https://openalex.org/W4312950730","https://openalex.org/W4385342517","https://openalex.org/W4385493083","https://openalex.org/W4391520039","https://openalex.org/W4391820003","https://openalex.org/W4392653436","https://openalex.org/W4395097471","https://openalex.org/W4395447716","https://openalex.org/W4396214964","https://openalex.org/W4397040147","https://openalex.org/W4398216873","https://openalex.org/W4398226159","https://openalex.org/W4399563150","https://openalex.org/W4399803078","https://openalex.org/W4400205710","https://openalex.org/W4400354187","https://openalex.org/W4400881081","https://openalex.org/W4401001787","https://openalex.org/W4401515712","https://openalex.org/W4401567633","https://openalex.org/W4401691923","https://openalex.org/W4401732056","https://openalex.org/W4402754231","https://openalex.org/W4403182012","https://openalex.org/W4403493015","https://openalex.org/W4403674440","https://openalex.org/W4405022713","https://openalex.org/W4405889974","https://openalex.org/W4407098645","https://openalex.org/W4408254255","https://openalex.org/W4408521422","https://openalex.org/W4409014642","https://openalex.org/W4410027579","https://openalex.org/W4410540534","https://openalex.org/W4410748107","https://openalex.org/W4410878775","https://openalex.org/W4411164793","https://openalex.org/W4412431170","https://openalex.org/W4412432644","https://openalex.org/W4412553442","https://openalex.org/W4412871026","https://openalex.org/W4413124362","https://openalex.org/W4413584098","https://openalex.org/W4413683384","https://openalex.org/W4415427266","https://openalex.org/W4417213279","https://openalex.org/W4417438791","https://openalex.org/W7124682986","https://openalex.org/W7125239281","https://openalex.org/W7133206296","https://openalex.org/W7134127346"],"related_works":[],"abstract_inverted_index":{"In":[0,34,116,191,235],"Traditional":[1],"Chinese":[2],"Medicine":[3],"diagnostic":[4],"and":[5,18,78,109,138,233,249,276],"rehabilitation":[6],"training,":[7],"hand":[8,42,101],"acupoint":[9,43,209,225],"keypoint":[10,44,102,189,255],"detection":[11,103,274],"offers":[12],"technical":[13],"assistance":[14],"for":[15,41],"accurate":[16],"placement":[17],"objective":[19],"quantification.":[20],"Predicting":[21],"the":[22,28,74,89,134,146,153,173,177,222,228,266],"keypoints":[23],"of":[24,82,85,141,224,230],"small":[25],"objects,":[26],"like":[27],"hand,":[29],"is":[30,155],"a":[31,38,100,130,164,168,199,214,243,260,270],"difficult":[32],"problem.":[33],"order":[35,117,192],"to":[36,73,112,118,132,149,157,193,220,237,252,281],"provide":[37],"crucial":[39],"technology":[40],"identification,":[45],"feature":[46,83,125,180],"fusion":[47,111],"in":[48,64,227],"deep":[49],"convolutional":[50,165],"neural":[51],"networks":[52],"has":[53,185],"concentrated":[54],"on":[55],"combining":[56],"multi-level":[57],"semantic":[58],"information":[59,63,81,121],"with":[60,123,187],"multi-scale":[61,110],"positional":[62],"recent":[65],"years.":[66],"Keypoint":[67],"detections":[68],"may":[69],"be":[70],"overlooked":[71],"due":[72],"fixed":[75],"sampling":[76],"areas":[77],"single":[79],"contextual":[80],"maps":[84],"various":[86],"dimensions,":[87],"despite":[88],"fact":[90],"that":[91,106,205,265],"these":[92,114],"methods":[93],"have":[94],"had":[95],"some":[96],"success.":[97],"We":[98],"present":[99],"technique":[104],"(HHANet)":[105],"combines":[107],"transformers":[108],"address":[113],"problems.":[115],"balance":[119,272],"global":[120,142],"processing":[122],"local":[124,169],"extraction,":[126],"we":[127,197,212],"first":[128],"construct":[129],"Multi-Transformer":[131,154],"increase":[133,221],"model's":[135],"anti-interference":[136],"performance":[137,275],"its":[139],"comprehension":[140],"information.":[143],"While":[144],"maintaining":[145],"Transformer's":[147],"capacity":[148],"describe":[150],"long-range":[151],"dependencies,":[152],"able":[156],"better":[158],"capture":[159],"spatial":[160],"features":[161],"by":[162],"incorporating":[163],"structure":[166],"within":[167],"window.":[170],"Second,":[171],"although":[172],"Transformer":[174],"module":[175,203],"improves":[176],"backbone":[178],"network's":[179],"representation":[181],"capabilities,":[182],"it":[183],"still":[184],"issues":[186],"edge":[188,208],"detection.":[190],"solve":[194],"this":[195],"problem,":[196],"created":[198],"low-frequency":[200],"filter":[201],"enhancement":[202],"(LEF)":[204],"can":[206],"record":[207],"texture.":[210],"Lastly,":[211],"suggested":[213,267],"cascaded":[215],"hybrid":[216,239],"attention":[217],"mechanism":[218],"(FEM)":[219],"accuracy":[223],"identification":[226],"presence":[229],"extreme":[231],"noise":[232],"interference.":[234],"contrast":[236],"current":[238],"attention,":[240],"FEM":[241],"uses":[242],"stepwise":[244],"augmentation":[245],"process,":[246],"initially":[247],"channel-wise":[248],"later":[250],"spatially,":[251],"highlight":[253],"fine-grained":[254],"features.":[256],"Experimental":[257],"results":[258],"using":[259],"self-developed":[261],"HHA":[262],"dataset":[263],"show":[264],"network":[268],"strikes":[269],"decent":[271],"between":[273],"model":[277],"complexity":[278],"when":[279],"compared":[280],"state-of-the-art":[282],"techniques.":[283]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-06T00:00:00"}
