{"id":"https://openalex.org/W4281640217","doi":"https://doi.org/10.1142/s0218001422500355","title":"Temporal-Variation Skeleton Point Correction Algorithm for Improved Accuracy of Human Action Recognition","display_name":"Temporal-Variation Skeleton Point Correction Algorithm for Improved Accuracy of Human Action Recognition","publication_year":2022,"publication_date":"2022-06-04","ids":{"openalex":"https://openalex.org/W4281640217","doi":"https://doi.org/10.1142/s0218001422500355"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422500355","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500355","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5061101228","display_name":"Ming\u2010Fong Tsai","orcid":"https://orcid.org/0000-0001-9046-2513"},"institutions":[{"id":"https://openalex.org/I125934054","display_name":"National United University","ror":"https://ror.org/04twccc71","country_code":"TW","type":"education","lineage":["https://openalex.org/I125934054"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ming-Fong Tsai","raw_affiliation_strings":["Department of Electronic Engineering, National United University, Miaoli City 36003, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National United University, Miaoli City 36003, Taiwan, R. O. C","institution_ids":["https://openalex.org/I125934054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112968552","display_name":"Shenghong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I125934054","display_name":"National United University","ror":"https://ror.org/04twccc71","country_code":"TW","type":"education","lineage":["https://openalex.org/I125934054"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Hong Huang","raw_affiliation_strings":["Department of Electronic Engineering, National United University, Miaoli City 36003, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National United University, Miaoli City 36003, Taiwan, R. O. C","institution_ids":["https://openalex.org/I125934054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061101228"],"corresponding_institution_ids":["https://openalex.org/I125934054"],"apc_list":null,"apc_paid":null,"fwci":0.3018,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5258852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"36","issue":"10","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":1.0,"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":1.0,"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":0.9886000156402588,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9864000082015991,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.707162618637085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6851110458374023},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6631461381912231},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.5812413692474365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5452696084976196},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5304580926895142},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4654709994792938},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4633278250694275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4462621212005615},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43274450302124023},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.43113598227500916},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42860496044158936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20439696311950684}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707162618637085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6851110458374023},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6631461381912231},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.5812413692474365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5452696084976196},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5304580926895142},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4654709994792938},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4633278250694275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4462621212005615},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43274450302124023},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.43113598227500916},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42860496044158936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20439696311950684},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422500355","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500355","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2780602937","https://openalex.org/W2948058585","https://openalex.org/W2962773068","https://openalex.org/W2963076818","https://openalex.org/W2964728237","https://openalex.org/W2978927732","https://openalex.org/W2996835428","https://openalex.org/W2999016149","https://openalex.org/W3022796439","https://openalex.org/W3035167951","https://openalex.org/W3047796478","https://openalex.org/W3080255534","https://openalex.org/W3081326063","https://openalex.org/W3098728175","https://openalex.org/W3107320732","https://openalex.org/W3111877556","https://openalex.org/W3113475215","https://openalex.org/W3120179362","https://openalex.org/W3120441550","https://openalex.org/W3123439270","https://openalex.org/W3125082963","https://openalex.org/W3128140926","https://openalex.org/W4206633503","https://openalex.org/W4210320706","https://openalex.org/W4213210762","https://openalex.org/W4221072800","https://openalex.org/W4233892392"],"related_works":["https://openalex.org/W1504288058","https://openalex.org/W2144724818","https://openalex.org/W2331674254","https://openalex.org/W2167293474","https://openalex.org/W3042897387","https://openalex.org/W2048505601","https://openalex.org/W2017205855","https://openalex.org/W2979079341","https://openalex.org/W2358403311","https://openalex.org/W3133463599"],"abstract_inverted_index":{"The":[0,127,147,175],"technique":[1],"of":[2,12,22,60,89,105,143,156],"human":[3,41,62,90,157],"action":[4,31,46,91,158,196],"recognition":[5,32,92,159,197],"can":[6,43,109,134],"be":[7],"applied":[8],"in":[9,19,27,39,55,73,78,82,168,190],"a":[10,74,97,200],"number":[11],"fields,":[13],"such":[14,48],"as":[15,49],"medical":[16],"rehabilitation,":[17],"posture":[18],"the":[20,36,40,58,61,85,113,121,141,144,154,169,187,191],"domain":[21],"sports,":[23],"and":[24,53,87,111,123,173],"emotion":[25],"perception":[26],"counselling.":[28],"Deep":[29],"learning":[30],"models":[33,167],"that":[34,108],"consider":[35],"continuous":[37],"changes":[38,54],"skeleton":[42,63,114,130,145],"efficiently":[44],"identify":[45],"states,":[47],"rehabilitation":[50],"processes,":[51],"posture,":[52],"emotion.":[56],"However,":[57],"keypoints":[59,115],"are":[64],"susceptible":[65],"to":[66,69,152],"occlusion":[67],"due":[68],"body":[70],"movement,":[71],"resulting":[72],"lower":[75],"confidence":[76],"level":[77],"their":[79],"positions,":[80],"which":[81],"turn":[83],"affects":[84],"training":[86,139],"execution":[88],"models.":[93],"This":[94],"paper":[95],"proposes":[96],"keypoint":[98,131],"correction":[99,132],"algorithm":[100,133,177],"based":[101,119,193],"on":[102,120,194],"continuous-time":[103],"images":[104],"temporal":[106],"variation":[107],"predict":[110],"correct":[112],"with":[116,186,199],"low":[117],"confidence,":[118],"previous":[122],"subsequent":[124],"multiple":[125],"images.":[126],"proposed":[128,148,176],"temporal-variation":[129],"provide":[135],"accurate":[136],"feature":[137],"association":[138],"for":[140],"locations":[142],"keypoints.":[146],"method":[149],"is":[150,178],"shown":[151],"improve":[153],"accuracy":[155],"by":[160,181],"at":[161,182],"least":[162,183],"30%":[163,184],"over":[164],"three":[165],"alternative":[166],"literature:":[170],"STV-GCN,":[171],"GCN-NAS,":[172],"2S-AGCN.":[174],"also":[179],"improved":[180],"compared":[185],"above-mentioned":[188],"methods":[189],"literature,":[192],"an":[195],"model":[198],"Gaussian":[201],"filter.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}