{"id":"https://openalex.org/W4408897252","doi":"https://doi.org/10.1109/icmlc63072.2024.10935279","title":"Prediction Analysis of Greeting Gestures based on Data Augmentation and LSTM","display_name":"Prediction Analysis of Greeting Gestures based on Data Augmentation and LSTM","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4408897252","doi":"https://doi.org/10.1109/icmlc63072.2024.10935279"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc63072.2024.10935279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5116820507","display_name":"Angga Wahyu Wibow","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Angga Wahyu Wibow","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University,Department of Computer Science,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University,Department of Computer Science,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040244392","display_name":"Eri Sato-Shimokawara","orcid":"https://orcid.org/0000-0002-4189-9724"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eri Sato-Shimokawara","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University,Department of Computer Science,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University,Department of Computer Science,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001560598","display_name":"Kurnianingsih Kurnianingsih","orcid":null},"institutions":[{"id":"https://openalex.org/I4388891846","display_name":"Politeknik Negeri Semarang","ror":"https://ror.org/04xwxtp60","country_code":null,"type":"education","lineage":["https://openalex.org/I4388891846"]},{"id":"https://openalex.org/I148158369","display_name":"State University of Semarang","ror":"https://ror.org/02fsk7e17","country_code":"ID","type":"education","lineage":["https://openalex.org/I148158369"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kurnianingsih","raw_affiliation_strings":["Politeknik Negeri Semarang,Department of Electrical Engineering,Semarang,Indonesia"],"affiliations":[{"raw_affiliation_string":"Politeknik Negeri Semarang,Department of Electrical Engineering,Semarang,Indonesia","institution_ids":["https://openalex.org/I148158369","https://openalex.org/I4388891846"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116820507"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.7767,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75209734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9537000060081482,"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":0.9537000060081482,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8280720114707947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7751387357711792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.478797048330307},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4426965117454529},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3912510275840759}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8280720114707947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7751387357711792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.478797048330307},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4426965117454529},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3912510275840759}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc63072.2024.10935279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1732493212","https://openalex.org/W2954350473","https://openalex.org/W2998786156","https://openalex.org/W3008872739","https://openalex.org/W3039434791","https://openalex.org/W3044398065","https://openalex.org/W3046296398","https://openalex.org/W3048247926","https://openalex.org/W3105640742","https://openalex.org/W3135141542","https://openalex.org/W3160877161","https://openalex.org/W3181655313","https://openalex.org/W3190152617","https://openalex.org/W4285222140","https://openalex.org/W4296340591","https://openalex.org/W4312341079","https://openalex.org/W4318831690","https://openalex.org/W4360860566","https://openalex.org/W4383620541","https://openalex.org/W4388018131","https://openalex.org/W4391695006","https://openalex.org/W4391814420","https://openalex.org/W4394701180","https://openalex.org/W6743440100","https://openalex.org/W6797856677","https://openalex.org/W6839687097","https://openalex.org/W6857967401","https://openalex.org/W6860590190","https://openalex.org/W6869719315"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2537963312","https://openalex.org/W2066003895","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W577271088","https://openalex.org/W2120801881","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0,170],"field":[1],"of":[2,104,111,118,164,234,252],"Human":[3],"Activity":[4],"Recognition":[5],"(HAR)":[6],"is":[7,38,65,79],"growing":[8],"significantly":[9],"in":[10,31,35,109,219,239,258],"several":[11,126],"areas":[12],"but":[13],"little":[14],"research":[15,58],"focuses":[16],"on":[17],"cultural":[18,33,285],"behavior.":[19,286],"How":[20],"machine":[21,277],"learning":[22,278],"can":[23],"explain":[24],"human":[25,59,259],"activity":[26,60],"as":[27,247,249],"a":[28,36,66,115,281],"promotional":[29],"tool":[30],"understanding":[32],"differences":[34],"region":[37],"very":[39],"challenging.":[40],"Studies":[41],"using":[42,69,84,147,217,223,272],"Recurrent":[43],"Neural":[44],"Network":[45],"(RNN),":[46],"especially":[47],"Long":[48],"Short-Term":[49],"Memory":[50],"(LSTM),":[51],"require":[52],"large":[53],"data":[54,64,77,127,141,213,236,245,255,266],"when":[55,68,82,216],"used":[56,83],"to":[57,74,86,124,186,199],"recognition.":[61],"Using":[62],"small":[63,224],"challenge":[67],"LSTM.":[70],"This":[71,121,201],"study":[72,122,202],"aims":[73],"determine":[75],"which":[76],"augmentation":[78,214,237,256],"most":[80],"appropriate":[81,254],"LSTM":[85,218],"predict":[87],"Japanese":[88],"greeting":[89,99,221],"gestures,":[90,100],"namely":[91,101,129],"eshaku,":[92],"keirei,":[93],"saikeirei,":[94],"waving":[95],"hands,":[96],"and":[97,139,162,182,188,207,279],"Indonesian":[98],"the":[102,112,119,148,178,192,211,232,250],"movement":[103],"bringing":[105],"both":[106],"hands":[107],"together":[108],"front":[110],"chest":[113],"with":[114,243],"slight":[116],"bow":[117],"head.":[120],"proposes":[123],"compare":[125],"augmentations,":[128],"jittering,":[130],"scaling,":[131],"permutation,":[132],"cropping,":[133],"reverse,":[134],"time":[135],"shifting,":[136],"frequency":[137],"domain,":[138],"synthetic":[140],"generation.":[142],"We":[143],"evaluate":[144],"model":[145,273],"performance":[146],"Mean":[149,154,158],"Squared":[150,155],"Error":[151,156,160],"(MSE),":[152],"Root":[153],"(RMSE),":[157],"Absolute":[159],"(MAE),":[161],"coefficient":[163],"determination":[165],"(R<sup":[166],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[167,195],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>)":[168],"metrics.":[169],"experimental":[171],"results":[172],"show":[173],"that":[174,204],"Time":[175,205],"Shifting":[176,206],"has":[177,191],"best":[179,193,212],"MSE,":[180],"RMSE,":[181],"MAE":[183],"values":[184,197],"compared":[185,198],"others":[187],"Frequency":[189,208],"Domain":[190,209],"R<sup":[194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[196],"others.":[200],"concludes":[203],"are":[210],"methods":[215,238,257],"predicting":[220],"gestures":[222],"data.":[225],"These":[226],"findings":[227],"provide":[228],"valuable":[229],"insights":[230],"into":[231],"effectiveness":[233],"various":[235],"motion":[240,260],"prediction":[241],"tasks":[242],"limited":[244],"sets,":[246],"well":[248],"importance":[251],"selecting":[253],"analysis.":[261],"Future":[262],"work":[263],"could":[264],"use":[265],"from":[267],"two":[268],"or":[269],"more":[270],"people":[271],"explanations":[274],"generated":[275],"by":[276],"developing":[280],"new":[282],"method":[283],"for":[284]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
