{"id":"https://openalex.org/W1980601381","doi":"https://doi.org/10.1109/coase.2014.6899454","title":"Human hand gesture recognition using a convolution neural network","display_name":"Human hand gesture recognition using a convolution neural network","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1980601381","doi":"https://doi.org/10.1109/coase.2014.6899454","mag":"1980601381"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2014.6899454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5086104885","display_name":"Hsien-I Lin","orcid":"https://orcid.org/0000-0002-6195-3353"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsien-I Lin","raw_affiliation_strings":["Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","[Graduate Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"[Graduate Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taiwan]","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081083065","display_name":"Ming-Hsiang Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hsiang Hsu","raw_affiliation_strings":["Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","[Graduate Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"[Graduate Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taiwan]","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034128709","display_name":"Wei\u2010Kai Chen","orcid":"https://orcid.org/0000-0002-8392-1707"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Kai Chen","raw_affiliation_strings":["Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","[Graduate Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"[Graduate Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taiwan]","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8623,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.94825282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1038","last_page":"1043"},"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":0.9957000017166138,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8235874176025391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796180784702301},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7687263488769531},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7570222616195679},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.748760998249054},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7249942421913147},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.670293927192688},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5646677613258362},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4359041154384613},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.41152793169021606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3617960214614868},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10476505756378174}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8235874176025391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796180784702301},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7687263488769531},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7570222616195679},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.748760998249054},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7249942421913147},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.670293927192688},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5646677613258362},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4359041154384613},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.41152793169021606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3617960214614868},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10476505756378174},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2014.6899454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","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":17,"referenced_works":["https://openalex.org/W1943273067","https://openalex.org/W1955716484","https://openalex.org/W1961645301","https://openalex.org/W1964914326","https://openalex.org/W2100599850","https://openalex.org/W2105018998","https://openalex.org/W2128276874","https://openalex.org/W2131472500","https://openalex.org/W2136956005","https://openalex.org/W2146221819","https://openalex.org/W2150577385","https://openalex.org/W2159498975","https://openalex.org/W2168392347","https://openalex.org/W2170837066","https://openalex.org/W2550829861","https://openalex.org/W6640686462","https://openalex.org/W6685121334"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Automatic":[0],"human":[1,32,142],"gesture":[2],"recognition":[3,169],"from":[4,35],"camera":[5,37],"images":[6,122],"is":[7,89],"an":[8,98],"interesting":[9],"topic":[10],"for":[11,64],"developing":[12],"intelligent":[13],"vision":[14],"systems.":[15],"In":[16,129],"this":[17],"paper,":[18],"we":[19,76,132],"propose":[20],"a":[21,36,78,116,134],"convolution":[22],"neural":[23],"network":[24],"(CNN)":[25],"method":[26,139],"to":[27,57,83,91,115,125],"recognize":[28],"hand":[29,51,103,113,150,165],"gestures":[30,143,166],"of":[31,50,97,102,136,160,178],"task":[33],"activities":[34],"image.":[38,99],"To":[39],"achieve":[40],"the":[41,44,48,59,65,68,73,85,112,120,127,137,174,179],"robustness":[42],"performance,":[43],"skin":[45,74,86],"model":[46,81,87],"and":[47,53,61,105,110,152,154,176],"calibration":[49,101],"position":[52,104],"orientation":[54,106],"are":[55,123],"applied":[56],"obtain":[58],"training":[60],"testing":[62],"data":[63],"CNN.":[66,128],"Since":[67],"light":[69,155],"condition":[70],"seriously":[71],"affects":[72],"color,":[75],"adopt":[77],"Gaussian":[79],"Mixture":[80],"(GMM)":[82],"train":[84,126],"which":[88,144],"used":[90,124],"robustly":[92],"filter":[93],"out":[94],"non-skin":[95],"colors":[96],"The":[100],"aims":[107],"at":[108],"translating":[109],"rotating":[111],"image":[114],"neutral":[117],"pose.":[118],"Then":[119],"calibrated":[121],"our":[130],"experiment,":[131],"provided":[133],"validation":[135],"proposed":[138,180],"on":[140],"recognizing":[141],"shows":[145,173],"robust":[146],"results":[147],"with":[148,167],"various":[149],"positions":[151],"orientations":[153],"conditions.":[156],"Our":[157],"experimental":[158],"evaluation":[159],"seven":[161,164],"subjects":[162],"performing":[163],"average":[168],"accuracies":[170],"around":[171],"95.96%":[172],"feasibility":[175],"reliability":[177],"method.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}