{"id":"https://openalex.org/W2970965801","doi":"https://doi.org/10.1109/icip.2019.8803659","title":"Labanotation Generation Based on Bidirectional Gated Recurrent Units with Joint and Line Features","display_name":"Labanotation Generation Based on Bidirectional Gated Recurrent Units with Joint and Line Features","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970965801","doi":"https://doi.org/10.1109/icip.2019.8803659","mag":"2970965801"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5025096242","display_name":"Shanshan Hao","orcid":"https://orcid.org/0000-0001-7193-4095"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Hao","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100298934","display_name":"Zhenjiang Miao","orcid":"https://orcid.org/0000-0001-8032-5769"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjiang Miao","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041076952","display_name":"Jiaji Wang","orcid":"https://orcid.org/0000-0002-6728-2685"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaji Wang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071889746","display_name":"Wanru Xu","orcid":"https://orcid.org/0000-0003-2206-5051"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanru Xu","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381855","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0001-6615-1336"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.046,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86793509,"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":"4265","last_page":"4269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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/T11309","display_name":"Music and Audio Processing","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7624030113220215},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7049418687820435},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6580338478088379},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5357723832130432},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5243687629699707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5224403738975525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44825243949890137},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4176385998725891},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10652416944503784},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09703165292739868}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624030113220215},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7049418687820435},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6580338478088379},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5357723832130432},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5243687629699707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5224403738975525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44825243949890137},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4176385998725891},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10652416944503784},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09703165292739868},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5199999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W656253499","https://openalex.org/W1483348149","https://openalex.org/W1502782507","https://openalex.org/W1829175078","https://openalex.org/W2048770348","https://openalex.org/W2138460106","https://openalex.org/W2144499799","https://openalex.org/W2157331557","https://openalex.org/W2556782416","https://openalex.org/W2599316529","https://openalex.org/W2902492738","https://openalex.org/W2903260754","https://openalex.org/W2903946885","https://openalex.org/W2919943556","https://openalex.org/W2950568498","https://openalex.org/W2964199361","https://openalex.org/W6628817192","https://openalex.org/W6630040903","https://openalex.org/W6680331152","https://openalex.org/W6681794868","https://openalex.org/W6683258052","https://openalex.org/W6684941089","https://openalex.org/W6730028046","https://openalex.org/W6735419995","https://openalex.org/W6760644812"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W4390822878","https://openalex.org/W2888483922","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W4396737233","https://openalex.org/W4392529072"],"abstract_inverted_index":{"Labanotation":[0,17],"is":[1,33,127,150],"an":[2,145],"effective":[3],"carrier":[4],"for":[5,133],"recording":[6],"and":[7,52,87,121],"displaying":[8],"three-dimensional":[9],"human":[10,59,106],"movements.":[11,107],"In":[12,26,36],"the":[13,19,67,73,85,153,156,160],"existing":[14],"methods":[15],"of":[16,30,79,84,112,147,155,162],"generation,":[18],"spatial":[20,95],"characteristics":[21],"are":[22,102],"not":[23,34],"fully":[24],"considered.":[25],"addition,":[27],"Long-term":[28],"correlation":[29,86],"time":[31,135],"series":[32],"reflected.":[35],"this":[37,125,142],"paper,":[38],"we":[39],"propose":[40],"a":[41],"novel":[42],"method":[43,126,143],"based":[44,118],"on":[45,119],"Bidirectional":[46,98],"Gated":[47,99],"Recurrent":[48,100],"Units":[49,101],"with":[50],"Joint":[51,64],"Line":[53,70],"features":[54,80],"which":[55,158],"can":[56,114],"efficiently":[57],"convert":[58],"movements":[60],"into":[61],"Labanotation.":[62],"Firstly,":[63],"feature":[65,71],"carries":[66],"location":[68],"information;":[69],"contains":[72],"direction":[74],"information.":[75,123],"These":[76],"two":[77],"types":[78],"make":[81],"full":[82],"use":[83],"co-occurrence":[88],"between":[89],"adjacent":[90],"joints,":[91],"thus":[92],"embodying":[93],"good":[94,128],"characteristics.":[96],"Secondly,":[97],"applied":[103],"to":[104],"identify":[105],"The":[108,137],"unique":[109],"gate-control":[110],"structure":[111],"Bi-GRU":[113],"predict":[115],"current":[116],"status":[117],"historical":[120],"future":[122],"Thus,":[124],"in":[129],"timing":[130],"modeling":[131],"especially":[132],"long":[134],"series.":[136],"experimental":[138],"results":[139],"show":[140],"that":[141],"achieved":[144],"accuracy":[146],"97.4%.":[148],"It":[149],"higher":[151],"than":[152],"state":[154],"art,":[157],"demonstrating":[159],"effectiveness":[161],"our":[163],"proposed":[164],"method.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
