{"id":"https://openalex.org/W4321488716","doi":"https://doi.org/10.1109/icoin56518.2023.10048934","title":"Hand Written Digits Recognition based on Concatenated LSTMs","display_name":"Hand Written Digits Recognition based on Concatenated LSTMs","publication_year":2023,"publication_date":"2023-01-11","ids":{"openalex":"https://openalex.org/W4321488716","doi":"https://doi.org/10.1109/icoin56518.2023.10048934"},"language":"en","primary_location":{"id":"doi:10.1109/icoin56518.2023.10048934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin56518.2023.10048934","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 Information Networking (ICOIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066201939","display_name":"Noriaki Kaneko","orcid":"https://orcid.org/0000-0002-1790-1441"},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriaki Kaneko","raw_affiliation_strings":["Sophia University,Faculty of Science and Technology,Tokyo,Japan","Faculty of Science and Technology, Sophia University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sophia University,Faculty of Science and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I42999171"]},{"raw_affiliation_string":"Faculty of Science and Technology, Sophia University, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104139839","display_name":"Masakatsu Ogawa","orcid":null},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masakatsu Ogawa","raw_affiliation_strings":["Sophia University,Faculty of Science and Technology,Tokyo,Japan","Faculty of Science and Technology, Sophia University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sophia University,Faculty of Science and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I42999171"]},{"raw_affiliation_string":"Faculty of Science and Technology, Sophia University, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I42999171"],"apc_list":null,"apc_paid":null,"fwci":0.4408,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50771208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"738","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9958999752998352,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.8230487108230591},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6017183065414429},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5858047604560852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5721884965896606},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5424706339836121},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5222964286804199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5122898817062378},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49968934059143066},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48117098212242126},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4523780941963196},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42681825160980225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3343814015388489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230487108230591},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6017183065414429},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5858047604560852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5721884965896606},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5424706339836121},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5222964286804199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5122898817062378},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49968934059143066},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48117098212242126},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4523780941963196},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42681825160980225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3343814015388489},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin56518.2023.10048934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin56518.2023.10048934","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 Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W3053245951","https://openalex.org/W3158057761","https://openalex.org/W3196149871","https://openalex.org/W6638667902","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W2786391746","https://openalex.org/W3132346564","https://openalex.org/W2914559142","https://openalex.org/W2891480213","https://openalex.org/W4226059458","https://openalex.org/W4381430104","https://openalex.org/W209733029","https://openalex.org/W2991483587","https://openalex.org/W2995102745","https://openalex.org/W1997978958"],"abstract_inverted_index":{"Over":[0],"the":[1,13,16,22,39,48,51,57,63,113,117,127],"last":[2],"few":[3],"years,":[4],"contactless":[5,27],"technology":[6],"has":[7],"gotten":[8],"much":[9],"attention":[10],"because":[11],"of":[12,15,50,65,77,124,135],"influence":[14],"coronavirus":[17],"(COVID-19).":[18],"We":[19,73],"focused":[20],"on":[21],"hand":[23],"written":[24],"digits":[25],"using":[26],"devices,":[28],"Leap":[29],"Motion":[30],"Controller,":[31],"for":[32],"an":[33],"information":[34],"input":[35,71],"method":[36,83,98,120,131],"to":[37,62],"accommodate":[38],"rapidly":[40],"increasing":[41],"demand.":[42],"In":[43],"this":[44],"study,":[45],"we":[46],"verify":[47],"effectiveness":[49],"proposed":[52,114],"learning":[53,115],"model":[54],"that":[55,85,100],"divides":[56],"subject\u2019s":[58],"hand-tracking":[59],"data":[60,88,103],"according":[61],"type":[64],"fingers":[66],"and":[67,91,126],"learn":[68],"with":[69],"multiple":[70],"layer.":[72],"set":[74],"two":[75],"kinds":[76],"evaluation":[78],"methods.":[79],"The":[80,94,108],"normal":[81,118],"recognition":[82,97,119,130],"is":[84,99],"specific":[86,101],"subject":[87,102],"includes":[89],"training":[90,106],"test":[92],"data.":[93,107],"third":[95,128],"party":[96,129],"does":[104],"include":[105],"classification":[109],"accuracy":[110],"calculated":[111],"by":[112],"model,":[116],"achieves":[121,132],"a":[122,133],"maximum":[123,134],"96.7%,":[125],"80.1%.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
