{"id":"https://openalex.org/W4281742261","doi":"https://doi.org/10.1142/s0218001422560158","title":"Enhancement of Hand Gesture Recognition Using Convolutional Neural Networks Integrating a Combination of an Autoencoder Network and PCA","display_name":"Enhancement of Hand Gesture Recognition Using Convolutional Neural Networks Integrating a Combination of an Autoencoder Network and PCA","publication_year":2022,"publication_date":"2022-06-04","ids":{"openalex":"https://openalex.org/W4281742261","doi":"https://doi.org/10.1142/s0218001422560158"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422560158","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422560158","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/A5016026348","display_name":"Khalil Bousbai","orcid":"https://orcid.org/0000-0002-9266-1273"},"institutions":[{"id":"https://openalex.org/I177657909","display_name":"Universit\u00e9 de Mostaganem","ror":"https://ror.org/052r04325","country_code":"DZ","type":"education","lineage":["https://openalex.org/I177657909"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Khalil Bousbai","raw_affiliation_strings":["Signals and Systems Laboratory, Department of Electrical Engineering, Mostaganem University, Mostaganem, Site 1 Route Belahcel, Algeria"],"affiliations":[{"raw_affiliation_string":"Signals and Systems Laboratory, Department of Electrical Engineering, Mostaganem University, Mostaganem, Site 1 Route Belahcel, Algeria","institution_ids":["https://openalex.org/I177657909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023834246","display_name":"Mostefa Merah","orcid":"https://orcid.org/0000-0003-3249-591X"},"institutions":[{"id":"https://openalex.org/I177657909","display_name":"Universit\u00e9 de Mostaganem","ror":"https://ror.org/052r04325","country_code":"DZ","type":"education","lineage":["https://openalex.org/I177657909"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mostefa Merah","raw_affiliation_strings":["Signals and Systems Laboratory, Department of Electrical Engineering, Mostaganem University, Mostaganem, Site 1 Route Belahcel, Algeria"],"affiliations":[{"raw_affiliation_string":"Signals and Systems Laboratory, Department of Electrical Engineering, Mostaganem University, Mostaganem, Site 1 Route Belahcel, Algeria","institution_ids":["https://openalex.org/I177657909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016026348"],"corresponding_institution_ids":["https://openalex.org/I177657909"],"apc_list":null,"apc_paid":null,"fwci":0.3362,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59572419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"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/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/T10812","display_name":"Human Pose and Action Recognition","score":0.9970999956130981,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.992900013923645,"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/autoencoder","display_name":"Autoencoder","score":0.8645116090774536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8134199380874634},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7688108086585999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7557973861694336},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7541674971580505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5285831093788147},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4849298298358917},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.45699992775917053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45399388670921326},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4469069838523865},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41815805435180664}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8645116090774536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134199380874634},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7688108086585999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7557973861694336},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7541674971580505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5285831093788147},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4849298298358917},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.45699992775917053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45399388670921326},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4469069838523865},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41815805435180664},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422560158","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422560158","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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1515456194","https://openalex.org/W1993928670","https://openalex.org/W2089909844","https://openalex.org/W2144354855","https://openalex.org/W2167055186","https://openalex.org/W2585183681","https://openalex.org/W2596319557","https://openalex.org/W2604272474","https://openalex.org/W2612690371","https://openalex.org/W2807791502","https://openalex.org/W2888650061","https://openalex.org/W2905033805","https://openalex.org/W2908903110","https://openalex.org/W2914340986","https://openalex.org/W2919115771","https://openalex.org/W2950953090","https://openalex.org/W2951632923","https://openalex.org/W2994808697","https://openalex.org/W3001540518","https://openalex.org/W3004480865","https://openalex.org/W3023338722","https://openalex.org/W4234650083"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2939353110"],"abstract_inverted_index":{"Hand":[0],"gestures":[1],"offer":[2],"people":[3],"a":[4,25,143,169],"convenient":[5],"way":[6],"to":[7,13,18,95,126,151],"interact":[8],"with":[9,168],"computers,":[10],"in":[11,30,56,103,133,140,160],"addition":[12],"give":[14],"them":[15],"the":[16,42,49,66,97,111,130,134,154,165],"ability":[17],"communicate":[19],"without":[20],"physical":[21],"contact":[22],"and":[23,59,61,72,88,119,123],"at":[24],"distance,":[26],"which":[27],"is":[28,149],"essential":[29],"today\u2019s":[31],"health":[32],"conditions,":[33],"especially":[34],"during":[35],"an":[36],"epidemic":[37],"infectious":[38],"viruses":[39],"such":[40,47,79],"as":[41,48,80],"COVID-19":[43],"coronavirus.":[44],"However,":[45],"factors,":[46],"complexity":[50],"of":[51,68,99,129,146],"hand":[52,57,69],"gesture":[53,70],"patterns,":[54],"differences":[55],"size":[58],"position,":[60],"other":[62],"aspects,":[63],"can":[64],"affect":[65],"performance":[67,98,176],"recognition":[71,101],"classification":[73],"algorithms.":[74],"Some":[75],"deep":[76],"learning":[77],"approaches":[78],"convolutional":[81],"neural":[82],"networks":[83,86,115,148],"(CNN),":[84],"capsule":[85],"(CapsNets)":[87],"autoencoders":[89],"have":[90],"been":[91],"proposed":[92,150,166],"by":[93,177],"researchers":[94],"improve":[96],"image":[100,120],"systems":[102],"this":[104,138,141,161],"particular":[105],"field:":[106],"While":[107],"CNNs":[108],"are":[109],"arguably":[110],"most":[112],"widely":[113],"used":[114],"for":[116],"object":[117],"detection":[118],"classification,":[121],"CapsNets":[122],"Autoencoder":[124],"seem":[125],"resolve":[127],"some":[128],"limitations":[131],"identified":[132],"first":[135],"approach.":[136],"For":[137],"reason,":[139],"work,":[142],"specific":[144],"combination":[145],"these":[147],"effectively":[152],"solve":[153],"ASL":[155],"problem.":[156],"The":[157],"results":[158],"obtained":[159],"work":[162],"show":[163],"that":[164],"group":[167],"simple":[170],"data":[171],"augmentation":[172],"process":[173],"improves":[174],"precision":[175],"99.43%.":[178]},"counts_by_year":[{"year":2025,"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"}
