{"id":"https://openalex.org/W4283580710","doi":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221","title":"End-to-end multiple modals deep learning system for hand posture recognition","display_name":"End-to-end multiple modals deep learning system for hand posture recognition","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4283580710","doi":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221"},"language":"en","primary_location":{"id":"doi:10.11591/ijeecs.v27.i1.pp214-221","doi":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/26446/16470","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/26446/16470","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018278358","display_name":"Huong-Giang Doan","orcid":"https://orcid.org/0000-0003-3428-0939","observed_orcids":["https://orcid.org/0000-0003-3428-0939"]},"institutions":[{"id":"https://openalex.org/I121799043","display_name":"Electric Power University","ror":"https://ror.org/01p4b7n26","country_code":"VN","type":"education","lineage":["https://openalex.org/I121799043"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Huong-Giang Doan","raw_affiliation_strings":["Electric Power University"],"raw_orcid":"https://orcid.org/0000-0003-3428-0939","affiliations":[{"raw_affiliation_string":"Electric Power University","institution_ids":["https://openalex.org/I121799043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049045320","display_name":"Ngoc-Trung Nguyen","orcid":"https://orcid.org/0000-0002-6389-6567","observed_orcids":["https://orcid.org/0000-0002-6389-6567"]},"institutions":[{"id":"https://openalex.org/I121799043","display_name":"Electric Power University","ror":"https://ror.org/01p4b7n26","country_code":"VN","type":"education","lineage":["https://openalex.org/I121799043"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngoc-Trung Nguyen","raw_affiliation_strings":["Electric Power University"],"raw_orcid":"https://orcid.org/0000-0002-6389-6567","affiliations":[{"raw_affiliation_string":"Electric Power University","institution_ids":["https://openalex.org/I121799043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121799043"],"apc_list":null,"apc_paid":null,"fwci":0.1899,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46357075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"27","issue":"1","first_page":"214","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.00039999998989515007,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hand-pose-recognition","display_name":"hand posture recognition","score":0.925000011920929},{"id":"https://openalex.org/keywords/hand-gesture-recognition","display_name":"hand gesture recognition","score":0.7979999780654907},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.7689999938011169},{"id":"https://openalex.org/keywords/end-to-end-deep-learning","display_name":"end-to-end deep learning","score":0.7879999876022339},{"id":"https://openalex.org/keywords/resnet-50","display_name":"ResNet50","score":0.7839999794960022},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.6769999861717224}],"concepts":[{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7830443978309631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576274871826172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7085767984390259},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6024906039237976},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5238340497016907},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5149944424629211},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5027332305908203},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4989736080169678},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.48853835463523865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46913594007492065},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4463551938533783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39203426241874695},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17891579866409302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09453552961349487},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.11591/ijeecs.v27.i1.pp214-221","doi":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/26446/16470","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:7178980","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/7178980","pdf_url":"https://zenodo.org/record/7178980","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science 27(1) 214-221","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.11591/ijeecs.v27.i1.pp214-221","doi":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v27.i1.pp214-221","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/26446/16470","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283580710.pdf","grobid_xml":"https://content.openalex.org/works/W4283580710.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1943054406","https://openalex.org/W1985891935","https://openalex.org/W1993928670","https://openalex.org/W2001374405","https://openalex.org/W2028471190","https://openalex.org/W2072419079","https://openalex.org/W2094645604","https://openalex.org/W2172827693","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2211086091","https://openalex.org/W2460915900","https://openalex.org/W2468530846","https://openalex.org/W2560143058","https://openalex.org/W2789648429","https://openalex.org/W2904106524","https://openalex.org/W2944779197","https://openalex.org/W2956416430","https://openalex.org/W2963216120","https://openalex.org/W2964206580","https://openalex.org/W2967279099","https://openalex.org/W3099442205","https://openalex.org/W3181098240","https://openalex.org/W3201316491","https://openalex.org/W4214561993"],"related_works":["https://openalex.org/W4402688948","https://openalex.org/W4386822463","https://openalex.org/W4221077037","https://openalex.org/W2986906932","https://openalex.org/W4313595941","https://openalex.org/W4293272440","https://openalex.org/W4200356177","https://openalex.org/W2085489682","https://openalex.org/W4411686788","https://openalex.org/W4394002119"],"abstract_inverted_index":{"Multi-modal":[0],"or":[1],"multi-view":[2],"dataset":[3],"that":[4,110,152],"was":[5,111],"captured":[6],"from":[7,89],"various":[8,91],"resources":[9],"(e.g.":[10],"RGB":[11],"and":[12,34,61,96,130,141],"Depth)":[13],"of":[14,47,59,93,136],"a":[15,83,118],"subject":[16],"at":[17],"the":[18,39,66,107],"same":[19],"time.":[20],"Combination":[21],"between":[22],"different":[23],"cues":[24,94],"has":[25],"still":[26],"faced":[27],"to":[28,99],"many":[29],"challenges":[30],"as":[31],"unique":[32],"data":[33,56],"complementary":[35],"in-formation.":[36],"In":[37],"adition,":[38],"proposed":[40,117,154],"method":[41,155],"for":[42,54],"multiple":[43],"modalities":[44],"recognition":[45,75],"consists":[46],"discrete":[48],"blocks,":[49],"such":[50],"as:":[51],"extract":[52],"features":[53],"separative":[55],"flows,":[57],"combine":[58],"features,":[60],"classify":[62,100],"gestures.":[63],"To":[64],"address":[65],"challenges,":[67],"we":[68],"pro-posed":[69],"two":[70],"novel":[71,119],"end-to-end":[72,120],"hand":[73,101,146],"posture":[74,147],"frameworks,":[76,122],"which":[77,123],"are":[78,124,138],"integrated":[79],"all":[80],"steps":[81],"into":[82],"convolution":[84,127],"neuronal":[85],"network":[86],"(CNN)":[87],"system":[88],"capturing":[90],"types":[92],"(RGB":[95],"Depth":[97],"images)":[98],"ges-ture":[102],"labels.":[103],"Both":[104,135],"frameworks":[105],"use":[106],"Resnet50":[108],"backbone":[109],"pretrained":[112],"by":[113],"ImageNet":[114],"dataset.":[115],"We":[116],"multi-modal":[121],"named":[125],"attention":[126],"module":[128,133],"(ACM)":[129],"gated":[131],"concatenation":[132],"(GCM).":[134],"them":[137],"deployed,":[139],"evaluated":[140],"compared":[142],"on":[143],"vari-ous":[144],"multi-modalities":[145],"datasets.":[148],"Experimental":[149],"results":[150],"show":[151],"our":[153],"outperforms":[156],"with":[157],"others":[158],"state-of-the-art":[159],"techniques":[160],"(SOTA)":[161],"methods.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2022-06-28T00:00:00"}