{"id":"https://openalex.org/W4389888104","doi":"https://doi.org/10.1109/iceei59426.2023.10346744","title":"PCA-SVM for a Lightweight ASL Hand Gesture Image Recognition","display_name":"PCA-SVM for a Lightweight ASL Hand Gesture Image Recognition","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4389888104","doi":"https://doi.org/10.1109/iceei59426.2023.10346744"},"language":"en","primary_location":{"id":"doi:10.1109/iceei59426.2023.10346744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei59426.2023.10346744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical Engineering and Informatics (ICEEI)","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/A5025084403","display_name":"Aji Gautama Putrada","orcid":"https://orcid.org/0000-0001-8677-0177"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Aji Gautama Putrada","raw_affiliation_strings":["Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]},{"raw_affiliation_string":"Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007745107","display_name":"Nur Alamsyah","orcid":"https://orcid.org/0009-0003-4235-5512"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nur Alamsyah","raw_affiliation_strings":["Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]},{"raw_affiliation_string":"Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032804843","display_name":"Mohamad Nurkamal Fauzan","orcid":"https://orcid.org/0000-0002-2371-1820"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mohamad Nurkamal Fauzan","raw_affiliation_strings":["Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]},{"raw_affiliation_string":"Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059807637","display_name":"Doan Perdana","orcid":"https://orcid.org/0000-0003-1020-1925"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Doan Perdana","raw_affiliation_strings":["Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]},{"raw_affiliation_string":"Advanced and Creative Networks Research Center, Telkom University, Bandung, Indonesia","institution_ids":["https://openalex.org/I862893732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025084403"],"corresponding_institution_ids":["https://openalex.org/I862893732"],"apc_list":null,"apc_paid":null,"fwci":0.1829,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52438572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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":1.0,"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9818999767303467,"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/support-vector-machine","display_name":"Support vector machine","score":0.8001514673233032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7756845951080322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7733653783798218},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7030061483383179},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6877991557121277},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6710001826286316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6638809442520142},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6482369899749756},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6360507011413574},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5253849625587463},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5218245387077332},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4929923713207245},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4269633889198303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4012666344642639}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8001514673233032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756845951080322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7733653783798218},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7030061483383179},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6877991557121277},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6710001826286316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6638809442520142},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6482369899749756},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6360507011413574},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5253849625587463},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5218245387077332},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4929923713207245},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4269633889198303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4012666344642639},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceei59426.2023.10346744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei59426.2023.10346744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical Engineering and Informatics (ICEEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324702","display_name":"Telkom Foundation Trust","ror":"https://ror.org/03a05n602"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2911418581","https://openalex.org/W2937991437","https://openalex.org/W2955793676","https://openalex.org/W3001867497","https://openalex.org/W3006669422","https://openalex.org/W3011424859","https://openalex.org/W3093820501","https://openalex.org/W3110578706","https://openalex.org/W3128053279","https://openalex.org/W3138219086","https://openalex.org/W3157903123","https://openalex.org/W3188921217","https://openalex.org/W3214192096","https://openalex.org/W4206730314","https://openalex.org/W4210262880","https://openalex.org/W4211004456","https://openalex.org/W4226062023","https://openalex.org/W4226376621","https://openalex.org/W4282840064","https://openalex.org/W4283258777","https://openalex.org/W4294723078","https://openalex.org/W4296712333","https://openalex.org/W4311666082","https://openalex.org/W4312552172","https://openalex.org/W4323894719","https://openalex.org/W4381805191","https://openalex.org/W4382193469","https://openalex.org/W6846054083"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"Other":[0],"studies":[1],"have":[2,40,208],"previously":[3],"researched":[4],"creating":[5],"a":[6,52,57,227],"new":[7],"dataset":[8,24,89,126],"called":[9],"Gesture":[10,88],"Modified":[11],"National":[12],"Institute":[13],"of":[14,80,161],"Standards":[15],"and":[16,96,111,116,148,178,201,205,231,237],"Technology":[17],"(MNIST":[18],"Gesture),":[19],"similar":[20],"to":[21,55,69,84,124],"the":[22,47,86,105,112,129,158,188,215],"MNIST":[23,87],"for":[25,43,72],"American":[26],"sign":[27],"language":[28],"(ASL)":[29],"hand":[30,74,167,194],"gestures.":[31],"Several":[32],"methods,":[33],"such":[34],"as":[35],"long":[36,144],"short-term":[37,145],"memory":[38,146],"(LSTM),":[39],"been":[41],"used":[42],"gesture":[44,75,168,195],"detection":[45],"on":[46,180],"dataset.":[48],"However,":[49,203],"there":[50],"is":[51,68,83,170,219],"research":[53,66,82],"opportunity":[54],"provide":[56],"learning":[58],"model":[59,98,138,190],"that":[60,157],"requires":[61],"less":[62],"training":[63,131,229],"data.":[64],"Our":[65],"aim":[67],"use":[70],"PCA-SVM":[71,162,189,204,218],"lightweight":[73,221],"recognition.":[76],"The":[77,153],"first":[78],"step":[79],"our":[81,136],"collect":[85],"from":[90],"Kaggle.":[91],"Then,":[92,172],"we":[93,134],"do":[94],"preprocessing":[95],"prediction":[97],"training.":[99],"We":[100],"then":[101],"compare":[102,135],"PCA":[103,173],"with":[104,139,183],"mean":[106],"decrease":[107],"in":[108,121,128,165,193],"impurity":[109],"(MDI)":[110],"least":[113],"absolute":[114],"shrinkage":[115],"selection":[117],"operator":[118],"(LASSO)":[119],"method":[120],"their":[122],"performance":[123],"reduce":[125],"dimensions":[127],"SVM":[130,185],"process.":[132],"Lastly,":[133],"proposed":[137],"two":[140],"state-of-the-art":[141],"benchmark":[142],"models:":[143],"(LSTM)":[147],"convolutional":[149],"neural":[150],"network":[151],"(CNN).":[152],"test":[154],"results":[155],"show":[156],"optimum":[159],"number":[160],"principal":[163],"components":[164],"ASL":[166],"recognition":[169,196],"50.":[171],"performs":[174],"better":[175],"than":[176,212,222],"MDI":[177],"LASSO":[179],"dimension":[181],"reduction":[182],"an":[184,209],"model.":[186],"Finally,":[187],"bests":[191],"LSTM":[192],"by":[197],"accuracy,":[198],"precision,":[199],"recall,":[200],"f1-score.":[202],"CNN":[206,223],"both":[207],"accuracy":[210],"higher":[211],"0.99.":[213],"On":[214],"other":[216],"hand,":[217],"more":[220],"because":[224],"it":[225],"has":[226],"shorter":[228],"time":[230],"testing":[232],"time,":[233],"namely":[234],"3.5":[235],"s":[236],"0.2":[238],"s,":[239],"respectively.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
