{"id":"https://openalex.org/W2024425337","doi":"https://doi.org/10.1109/icics.2011.6174264","title":"A static hand gesture recognition algorithm using k-mean based radial basis function neural network","display_name":"A static hand gesture recognition algorithm using k-mean based radial basis function neural network","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2024425337","doi":"https://doi.org/10.1109/icics.2011.6174264","mag":"2024425337"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2011.6174264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6174264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications &amp; Signal Processing","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/A5079034948","display_name":"Dipak Ghosh","orcid":"https://orcid.org/0000-0003-3768-8091"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"D. K. Ghosh","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India","Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India#TAB#","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031738703","display_name":"Samit Ari","orcid":"https://orcid.org/0000-0002-5599-081X"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Ari","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India","Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Rourkela, India#TAB#","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079034948"],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":null,"apc_paid":null,"fwci":4.661,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.94624397,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9771000146865845,"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"}},{"id":"https://openalex.org/T11285","display_name":"Hearing Impairment and Communication","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7398483157157898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.736873984336853},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6527283787727356},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6473934054374695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5672557353973389},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.540051281452179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5373799800872803},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5325281620025635},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4821745753288269},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44758620858192444},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.445287823677063},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20616313815116882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398483157157898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.736873984336853},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6527283787727356},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6473934054374695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5672557353973389},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.540051281452179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5373799800872803},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5325281620025635},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4821745753288269},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44758620858192444},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.445287823677063},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20616313815116882}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2011.6174264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6174264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications &amp; Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1579871682","https://openalex.org/W2011972938","https://openalex.org/W2031583783","https://openalex.org/W2047568295","https://openalex.org/W2059812686","https://openalex.org/W2112382942","https://openalex.org/W2117683888","https://openalex.org/W2121228989","https://openalex.org/W2123697922","https://openalex.org/W2126698653","https://openalex.org/W2128716185","https://openalex.org/W2133059825","https://openalex.org/W2134130385","https://openalex.org/W2139670260","https://openalex.org/W2145023731","https://openalex.org/W2146210601","https://openalex.org/W2146221819","https://openalex.org/W2150521661","https://openalex.org/W2169192056","https://openalex.org/W6678379346"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W2138983844"],"abstract_inverted_index":{"The":[0,50,174,201],"accurate":[1],"classification":[2,165,207],"of":[3,42,128,166,186,195],"static":[4,36,190],"hand":[5,14,37,60,131,149,167,191,199],"gestures":[6,132,168],"is":[7,19,114,143,160,176,210],"a":[8,13,67,106,111],"vital":[9],"role":[10],"to":[11,82,146],"develop":[12],"gesture":[15,38,81,109,192],"recognition":[16,39],"system":[17],"which":[18,58,209],"used":[20,144],"for":[21,26,164],"human-computer":[22],"interaction":[23],"(HCI)":[24],"and":[25,29,48,72,94,182],"human":[27],"alternative":[28],"augmentative":[30],"communication":[31],"(HAAC)":[32],"application.":[33],"A":[34,136,151],"vision-based":[35],"algorithm":[40,71],"consists":[41],"three":[43,55],"stages:":[44],"preprocessing,":[45],"feature":[46,142,172],"extraction":[47],"classification.":[49],"preprocessing":[51],"stage":[52],"involves":[53],"following":[54],"sub-stages:":[56],"segmentation":[57],"segments":[59],"region":[61],"from":[62,97,169],"its":[63],"background":[64,92],"images":[65,181,185],"using":[66],"histogram":[68],"based":[69,141,153,171],"thresholding":[70],"transforms":[73],"into":[74],"binary":[75,98],"silhouette;":[76],"rotation":[77,86,107],"that":[78,89],"rotates":[79],"segmented":[80,130],"make":[83],"the":[84,121,129,148],"algorithm,":[85],"invariant;":[87],"filtering":[88,102],"effectively":[90],"removes":[91],"noise":[93,96],"object":[95],"image":[99,193],"by":[100,119],"morphological":[101],"technique.":[103,215],"To":[104],"obtain":[105],"invariant":[108],"image,":[110],"novel":[112],"technique":[113],"proposed":[115,162,202],"in":[116],"this":[117],"paper":[118],"coinciding":[120],"1":[122],"<sup":[123],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">st</sup>":[125],"principal":[126],"component":[127],"with":[133,205],"vertical":[134],"axes.":[135],"localized":[137],"contour":[138],"sequence":[139],"(LCS)":[140],"here":[145,163],"classify":[147],"gestures.":[150],"k-mean":[152],"radial":[154],"basis":[155],"function":[156],"neural":[157],"network":[158],"(RBFNN)":[159],"also":[161],"LCS":[170],"set.":[173],"experiment":[175],"conducted":[177],"on":[178],"500":[179,183],"train":[180],"test":[184],"25":[187],"class":[188],"grayscale":[189],"dataset":[194],"Danish/international":[196],"sign":[197],"language":[198],"alphabet.":[200],"method":[203],"performs":[204],"99.6%":[206],"accuracy":[208],"better":[211],"than":[212],"earlier":[213],"reported":[214]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}