{"id":"https://openalex.org/W4297510051","doi":"https://doi.org/10.32604/iasc.2023.032832","title":"A Hybrid Deep Learning Model for Real Time Hand Gestures Recognition","display_name":"A Hybrid Deep Learning Model for Real Time Hand Gestures Recognition","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W4297510051","doi":"https://doi.org/10.32604/iasc.2023.032832"},"language":"en","primary_location":{"id":"doi:10.32604/iasc.2023.032832","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.032832","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-36-1/TSP_IASC_32832/TSP_IASC_32832.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-36-1/TSP_IASC_32832/TSP_IASC_32832.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011353711","display_name":"S. Gnanapriya","orcid":null},"institutions":[{"id":"https://openalex.org/I4404532908","display_name":"Easwari Engineering College","ror":"https://ror.org/01aams644","country_code":null,"type":"education","lineage":["https://openalex.org/I4404532908"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Gnanapriya","raw_affiliation_strings":["Department of Information Technology, Easwari Engineering College, Chennai, 600089, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Easwari Engineering College, Chennai, 600089, India","institution_ids":["https://openalex.org/I4404532908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087358545","display_name":"K. Rahimunnisa","orcid":null},"institutions":[{"id":"https://openalex.org/I4404532908","display_name":"Easwari Engineering College","ror":"https://ror.org/01aams644","country_code":null,"type":"education","lineage":["https://openalex.org/I4404532908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Rahimunnisa","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Easwari Engineering College, Chennai, 600089, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Easwari Engineering College, Chennai, 600089, India","institution_ids":["https://openalex.org/I4404532908"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011353711"],"corresponding_institution_ids":["https://openalex.org/I4404532908"],"apc_list":null,"apc_paid":null,"fwci":1.1081,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78593574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"1105","last_page":"1119"},"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":0.9969000220298767,"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":0.989300012588501,"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/computer-science","display_name":"Computer science","score":0.8973097205162048},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8104104995727539},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7543043494224548},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7080787420272827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6946646571159363},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6834496259689331},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6277203559875488},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5843031406402588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5199959874153137},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42856618762016296},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4268219769001007},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3911449611186981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34579402208328247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8973097205162048},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8104104995727539},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7543043494224548},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7080787420272827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6946646571159363},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6834496259689331},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6277203559875488},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5843031406402588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5199959874153137},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42856618762016296},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4268219769001007},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3911449611186981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34579402208328247},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/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:10.32604/iasc.2023.032832","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.032832","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-36-1/TSP_IASC_32832/TSP_IASC_32832.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/iasc.2023.032832","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2023.032832","pdf_url":"https://file.techscience.com/ueditor/files/iasc/TSP_IASC-36-1/TSP_IASC_32832/TSP_IASC_32832.pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297510051.pdf","grobid_xml":"https://content.openalex.org/works/W4297510051.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2074135390","https://openalex.org/W2122864665","https://openalex.org/W2159808202","https://openalex.org/W2161236525","https://openalex.org/W2295743913","https://openalex.org/W2305698503","https://openalex.org/W2542958393","https://openalex.org/W2630837129","https://openalex.org/W2744859963","https://openalex.org/W2944488554","https://openalex.org/W2949961386","https://openalex.org/W2952793010","https://openalex.org/W2964343881","https://openalex.org/W2975768142","https://openalex.org/W3011956241","https://openalex.org/W3036597192","https://openalex.org/W3097427411","https://openalex.org/W4224239473","https://openalex.org/W4285138249","https://openalex.org/W4285147355","https://openalex.org/W6634293200","https://openalex.org/W6666203738","https://openalex.org/W6671927864","https://openalex.org/W6672038431","https://openalex.org/W6675026286","https://openalex.org/W6698080733","https://openalex.org/W6698128609","https://openalex.org/W6728887861","https://openalex.org/W6761074237","https://openalex.org/W6762718338","https://openalex.org/W6765996070","https://openalex.org/W6772446037","https://openalex.org/W6776445042","https://openalex.org/W6782236493","https://openalex.org/W6785094653","https://openalex.org/W6787687762","https://openalex.org/W6809905792"],"related_works":["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/W2999805992","https://openalex.org/W4380075502","https://openalex.org/W2790662084","https://openalex.org/W4291897433"],"abstract_inverted_index":{"The":[0,35,51,75,92,110],"performance":[1,27],"of":[2,17,43,58,82,143,172],"Hand":[3],"Gesture":[4],"Recognition":[5,133],"(HGR)":[6],"depends":[7],"on":[8,153],"the":[9,15,25,44,80,83,86,138,178],"hand":[10,18,72,84,155],"shape.":[11],"Segmentation":[12],"helps":[13],"in":[14,48,70],"recognition":[16,170],"gestures":[19],"for":[20],"more":[21],"accuracy":[22],"and":[23,55,68,85,116,148,159,177],"improves":[24],"overall":[26],"compared":[28],"to":[29,102,125],"other":[30],"existing":[31],"deep":[32],"neural":[33],"networks.":[34],"crucial":[36],"segmentation":[37,95,108,176],"task":[38],"is":[39,78,89,97,134],"extremely":[40],"complicated":[41],"because":[42],"background":[45],"complexity,":[46],"variation":[47],"illumination":[49],"etc.":[50],"proposed":[52],"modified":[53,93],"UNET":[54,94],"ensemble":[56,139],"model":[57,96,141],"Convolutional":[59],"Neural":[60],"Networks":[61],"(CNN)":[62],"undergoes":[63],"a":[64,104,168],"two":[65],"stage":[66,77,88],"process":[67],"results":[69],"proper":[71],"gesture":[73,90],"recognition.":[74],"first":[76],"segmenting":[79],"regions":[81],"second":[87],"identification.":[91],"trained":[98],"using":[99],"resized":[100],"images":[101],"generate":[103],"cost":[105],"effective":[106],"semantic":[107,175],"model.":[109,181],"Central":[111],"Processing":[112],"Unit":[113],"(CPU)":[114],"utilization":[115],"training":[117],"time":[118],"taken":[119],"by":[120],"these":[121],"models":[122],"with":[123,137],"respect":[124],"three":[126],"public":[127],"benchmark":[128,161],"datasets":[129,162],"are":[130],"also":[131],"analyzed.":[132],"carried":[135],"out":[136],"learning":[140,180],"consisting":[142],"EfficientNet":[144,146],"B0,":[145],"B4":[147],"ResNet":[149],"V2":[150],"152.":[151],"Experimentation":[152],"NUS":[154],"posture":[156],"dataset-II,":[157],"OUHANDS":[158],"HGRI":[160],"show":[163],"that":[164],"our":[165],"architecture":[166],"achieves":[167],"maximum":[169],"rate":[171],"99.07%":[173],"through":[174],"Ensemble":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}