{"id":"https://openalex.org/W4283815754","doi":"https://doi.org/10.1109/ncc55593.2022.9806782","title":"Resolving the ambiguity in recognizing case-sensitive characters gesticulated in mid-air through post-decision support modules","display_name":"Resolving the ambiguity in recognizing case-sensitive characters gesticulated in mid-air through post-decision support modules","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4283815754","doi":"https://doi.org/10.1109/ncc55593.2022.9806782"},"language":"en","primary_location":{"id":"doi:10.1109/ncc55593.2022.9806782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","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/A5004515690","display_name":"Anish Monsley Kirupakaran","orcid":"https://orcid.org/0000-0002-4927-3785"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anish Monsley Kirupakaran","raw_affiliation_strings":["National Institute of Technology Silchar,Electronics and Communication Engineering,Cachar,Assam,India,788010"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Electronics and Communication Engineering,Cachar,Assam,India,788010","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028418596","display_name":"Kuldeep Singh Yadav","orcid":"https://orcid.org/0000-0002-9761-9023"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kuldeep Singh Yadav","raw_affiliation_strings":["National Institute of Technology Silchar,Electronics and Communication Engineering,Cachar,Assam,India,788010"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Electronics and Communication Engineering,Cachar,Assam,India,788010","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000303933","display_name":"Rabul Hussain Laskar","orcid":"https://orcid.org/0000-0003-3988-394X"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rabul Hussain Laskar","raw_affiliation_strings":["National Institute of Technology Silchar,Electronics and Communication Engineering,Cachar,Assam,India,788010"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Electronics and Communication Engineering,Cachar,Assam,India,788010","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004515690"],"corresponding_institution_ids":["https://openalex.org/I151903974"],"apc_list":null,"apc_paid":null,"fwci":0.1121,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43489985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017","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":0.9998999834060669,"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":0.9998999834060669,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.657842218875885},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6376417875289917},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.634759783744812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5505545139312744},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5480348467826843},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5195691585540771},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41359812021255493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3548508286476135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2079903483390808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657842218875885},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6376417875289917},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.634759783744812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5505545139312744},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5480348467826843},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5195691585540771},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41359812021255493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3548508286476135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2079903483390808},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc55593.2022.9806782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G983936891","display_name":null,"funder_award_id":"IMP2/46/2021-22","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1659482141","https://openalex.org/W1686810756","https://openalex.org/W2055075080","https://openalex.org/W2112796928","https://openalex.org/W2128160875","https://openalex.org/W2147860648","https://openalex.org/W2151177384","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2238782374","https://openalex.org/W2253709148","https://openalex.org/W2343424255","https://openalex.org/W2410737122","https://openalex.org/W2584811897","https://openalex.org/W2616222580","https://openalex.org/W2618530766","https://openalex.org/W2734358244","https://openalex.org/W2766196653","https://openalex.org/W2776265614","https://openalex.org/W2785994986","https://openalex.org/W2788421913","https://openalex.org/W2892456951","https://openalex.org/W2910415828","https://openalex.org/W2911767333","https://openalex.org/W2937425121","https://openalex.org/W2946548169","https://openalex.org/W2952170192","https://openalex.org/W2953937638","https://openalex.org/W2963703618","https://openalex.org/W2966275995","https://openalex.org/W2972142851","https://openalex.org/W2999040843","https://openalex.org/W3036607966","https://openalex.org/W3100043936","https://openalex.org/W3106437163","https://openalex.org/W3118100197","https://openalex.org/W3122277820","https://openalex.org/W4287726321","https://openalex.org/W6637373629","https://openalex.org/W6743446608","https://openalex.org/W6748053814","https://openalex.org/W6764990469"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W4400595174","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321"],"abstract_inverted_index":{"Unlike":[0],"real-world":[1],"objects":[2],"which":[3],"remains":[4],"the":[5,9,40,48,103,109,112,129,150],"same":[6,41],"irrespective":[7],"of":[8,26,54,76,126],"changes":[10],"in":[11,61,111,147],"size":[12,98,154],"on":[13,95,137],"a":[14,70,84],"fixed/varying":[15],"scale,":[16],"few":[17],"English":[18],"alphabets":[19,30],"become":[20,44],"identical":[21],"to":[22,47,118],"each":[23],"other":[24],"because":[25],"case":[27],"ambiguity.":[28],"Recognizing":[29],"becomes":[31],"further":[32],"complex":[33],"when":[34],"different":[35],"characters":[36,93,122,151],"are":[37],"gesticulated":[38,97],"with":[39,123,135],"pattern":[42],"or":[43],"similar":[45,92,121],"due":[46],"gesticulation":[49],"style.":[50],"The":[51],"generalization":[52],"ability":[53],"deep":[55],"convolutional":[56],"neural":[57],"networks":[58],"(DCNN)":[59],"results":[60],"misclassifying":[62],"these":[63,91,120],"characters.":[64],"To":[65],"overcome":[66],"this,":[67],"we":[68],"propose":[69],"two-stage":[71],"recognition":[72],"model":[73,115],"that":[74,143],"comprises":[75],"DCNN":[77],"and":[78,99,107],"advisor":[79],"unit":[80],"(AU)":[81],"followed":[82,146],"by":[83],"post-decision":[85],"support":[86],"module":[87],"(P-DSM).":[88],"It":[89],"differentiates":[90],"based":[94],"actual":[96],"extracts":[100],"features":[101],"from":[102],"1D,":[104],"2D":[105],"perspective":[106],"captures":[108],"demographics":[110],"gesticulation.":[113],"This":[114],"is":[116],"able":[117],"discriminate":[119],"an":[124],"accuracy":[125],"~92%":[127],"for":[128],"NITS":[130],"hand":[131],"gesture":[132],"database.":[133],"Experimenting":[134],"this":[136],"popular":[138],"handwritten":[139],"EMNIST":[140],"database":[141],"suggests":[142],"pre-processing":[144],"steps":[145],"it":[148],"make":[149],"lose":[152],"their":[153],"information.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
