{"id":"https://openalex.org/W3210335598","doi":"https://doi.org/10.1109/mapr53640.2021.9585280","title":"A Unified Deep Framework for Hand Pose Estimation and Dynamic Hand Action Recognition from First-Person RGB Videos","display_name":"A Unified Deep Framework for Hand Pose Estimation and Dynamic Hand Action Recognition from First-Person RGB Videos","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3210335598","doi":"https://doi.org/10.1109/mapr53640.2021.9585280","mag":"3210335598"},"language":"en","primary_location":{"id":"doi:10.1109/mapr53640.2021.9585280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr53640.2021.9585280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","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/A5063587268","display_name":"Viet-Duc Le","orcid":"https://orcid.org/0009-0007-7803-9641"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Viet-Duc Le","raw_affiliation_strings":["School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","Tan Trao University, TuyenQuang, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Tan Trao University, TuyenQuang, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063178369","display_name":"Van-Nam Hoang","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Nam Hoang","raw_affiliation_strings":["MICA, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MICA, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102818299","display_name":"Tien\u2010Thanh Nguyen","orcid":"https://orcid.org/0000-0001-7578-2789"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tien-Thanh Nguyen","raw_affiliation_strings":["School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013372627","display_name":"Van-Hung Le","orcid":"https://orcid.org/0000-0003-4302-0581"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van-Hung Le","raw_affiliation_strings":["School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","Tan Trao University, TuyenQuang, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Tan Trao University, TuyenQuang, Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724817","display_name":"Thanh-Hai Tran","orcid":"https://orcid.org/0000-0003-3133-3361"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Hai Tran","raw_affiliation_strings":["School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007554071","display_name":"Hai Vu","orcid":"https://orcid.org/0000-0003-2880-4417"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hai Vu","raw_affiliation_strings":["School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067859504","display_name":"Thi\u2010Lan Le","orcid":"https://orcid.org/0000-0001-9541-3905"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi-Lan Le","raw_affiliation_strings":["School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.8733,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76269027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.98580002784729,"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/pose","display_name":"Pose","score":0.8121285438537598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8093910813331604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.779830813407898},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6962447762489319},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6257749199867249},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5979121923446655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.572950541973114},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5613460540771484},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.49403148889541626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3999583423137665},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.07265621423721313}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8121285438537598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8093910813331604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.779830813407898},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6962447762489319},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6257749199867249},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5979121923446655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.572950541973114},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5613460540771484},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.49403148889541626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3999583423137665},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.07265621423721313},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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:10.1109/mapr53640.2021.9585280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr53640.2021.9585280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309617","display_name":"National Foundation for Science and Technology Development","ror":"https://ror.org/04rw64z44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1950788856","https://openalex.org/W2149993355","https://openalex.org/W2159756630","https://openalex.org/W2510185399","https://openalex.org/W2519887557","https://openalex.org/W2605973302","https://openalex.org/W2781143029","https://openalex.org/W2948058585","https://openalex.org/W2963076818","https://openalex.org/W2964015378","https://openalex.org/W3035050855","https://openalex.org/W3035385851","https://openalex.org/W3091040708","https://openalex.org/W3092754310","https://openalex.org/W3093964127","https://openalex.org/W3106350522","https://openalex.org/W6640754710","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2964084369","https://openalex.org/W2004108207","https://openalex.org/W3135266094","https://openalex.org/W4312069176"],"abstract_inverted_index":{"Understanding":[0],"hand":[1,18,35,53,58,72,76,88,119,124,138,143,147,176,180],"action":[2,54,77,120,148,181],"from":[3,79,90,122],"the":[4,113,152,156,167],"first-person":[5,80],"video":[6],"has":[7],"emerged":[8],"recently":[9],"thanks":[10],"to":[11,44,134],"its":[12],"wide":[13],"potential":[14],"applications":[15],"such":[16],"as":[17,40],"rehabilitation,":[19],"augmented":[20],"reality.":[21],"The":[22,163],"majority":[23],"of":[24,97,107,130],"works":[25,51],"mainly":[26],"reply":[27],"on":[28,155,174],"RGB":[29,33,81,92],"images.":[30,82],"Compared":[31],"with":[32],"images,":[34],"joints":[36,59,89],"have":[37],"certain":[38],"advantages":[39],"they":[41],"are":[42,61],"robust":[43],"illuminations":[45],"and":[46,75,99,146,179],"appearance":[47],"variation.":[48],"However,":[49],"previous":[50],"for":[52,70,112,118],"recognition":[55,78,121,182],"usually":[56],"employed":[57],"that":[60,166],"manually":[62],"determined.":[63],"This":[64],"paper":[65],"presents":[66],"a":[67,95,100,108],"unified":[68],"framework":[69,85,127,154,169],"both":[71,141,175],"pose":[73,144,177],"estimation":[74,145,178],"First,":[83],"our":[84],"estimates":[86],"3D":[87],"every":[91],"image":[93],"using":[94],"combination":[96],"Resnet":[98],"Graphical":[101],"convolutional":[102],"network.":[103],"Then,":[104],"an":[105],"adaptation":[106],"SOTA":[109,172],"method":[110],"PA-ResGCN":[111],"human":[114,137],"skeleton":[115],"is":[116],"proposed":[117,153,168],"estimated":[123],"joints.":[125],"Our":[126],"takes":[128],"advantage":[129],"efficient":[131],"graphical":[132],"networks":[133],"model":[135],"graph-like":[136],"structure":[139],"in":[140],"phases:":[142],"recognition.":[149],"We":[150],"evaluate":[151],"First":[157],"Person":[158],"Hand":[159],"Action":[160],"Benchmark":[161],"(FPHAB).":[162],"experiments":[164],"show":[165],"outperforms":[170],"different":[171],"methods":[173],"tasks.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}