{"id":"https://openalex.org/W2941552282","doi":"https://doi.org/10.17706/jcp.14.2.101-110","title":"Hand Gesture Recognition Based on Faster-RCNN Deep Learning","display_name":"Hand Gesture Recognition Based on Faster-RCNN Deep Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2941552282","doi":"https://doi.org/10.17706/jcp.14.2.101-110","mag":"2941552282"},"language":"en","primary_location":{"id":"doi:10.17706/jcp.14.2.101-110","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.14.2.101-110","pdf_url":"http://www.jcomputers.us/vol14/jcp1402-03.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jcomputers.us/vol14/jcp1402-03.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108210081","display_name":"Yu Xiaoguang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147745","display_name":"West Anhui University","ror":"https://ror.org/046ft6c74","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147745"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoguang Yu","raw_affiliation_strings":["Department of Art, West Anhui University, Luan 237012, China"],"affiliations":[{"raw_affiliation_string":"Department of Art, West Anhui University, Luan 237012, China","institution_ids":["https://openalex.org/I4210147745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108210081"],"corresponding_institution_ids":["https://openalex.org/I4210147745"],"apc_list":null,"apc_paid":null,"fwci":1.5246,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82492128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"2","first_page":"101","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9957000017166138,"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":0.9957000017166138,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.917900025844574,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.6965212821960449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49199625849723816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3639175295829773},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3482649326324463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965212821960449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49199625849723816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3639175295829773},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3482649326324463}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jcp.14.2.101-110","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.14.2.101-110","pdf_url":"http://www.jcomputers.us/vol14/jcp1402-03.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jcp.14.2.101-110","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.14.2.101-110","pdf_url":"http://www.jcomputers.us/vol14/jcp1402-03.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2941552282.pdf","grobid_xml":"https://content.openalex.org/works/W2941552282.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1634774238","https://openalex.org/W1731114447","https://openalex.org/W1943054406","https://openalex.org/W1977995219","https://openalex.org/W2052935318","https://openalex.org/W2068841257","https://openalex.org/W2114053544","https://openalex.org/W2117683888","https://openalex.org/W2131105378","https://openalex.org/W2183182206","https://openalex.org/W2318145034","https://openalex.org/W2551059751","https://openalex.org/W2593621665","https://openalex.org/W2594849923","https://openalex.org/W2745549613","https://openalex.org/W2755722600","https://openalex.org/W2759220907","https://openalex.org/W2775651131","https://openalex.org/W2783820472","https://openalex.org/W2794679204","https://openalex.org/W2807750652"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,85,96,119],"hand":[1,28,40],"gesture":[2,29,41,108],"recognition":[3,18,30,42,109],"is":[4,44,68,87,128],"an":[5],"effective":[6],"way":[7],"to":[8,80,125],"apply":[9],"human":[10,132],"computer":[11,133],"interaction":[12,134],"which":[13,43,127],"should":[14],"aim":[15],"at":[16],"good":[17],"accuracy":[19,120],"and":[20,113],"high":[21],"speed.":[22],"To":[23],"solve":[24],"the":[25,47,74,82,103,107],"problem":[26],"of":[27,60,98],"in":[31],"complex":[32,75],"scenes,":[33],"we":[34],"propose":[35],"a":[36,90],"new":[37],"approach":[38],"for":[39,94,131],"based":[45],"on":[46],"faster":[48],"regional":[49],"convolutional":[50],"neural":[51,61],"network":[52],"(Faster-RCNN)":[53],"deep":[54],"learning":[55],"algorithm":[56,104],"with":[57,66,89,115],"five":[58],"layers":[59],"network.":[62],"A":[63],"benchmark":[64],"database":[65],"gestures":[67],"used,":[69],"several":[70],"general":[71],"characters":[72],"under":[73],"environmental":[76],"background":[77],"are":[78],"chosen":[79],"as":[81],"processing":[83],"object.":[84],"model":[86,99],"established":[88],"certain":[91],"number":[92],"samples":[93],"training.":[95],"results":[97],"checking":[100],"show":[101],"that":[102],"can":[105,121],"identify":[106],"categories":[110],"effectively,":[111],"quickly":[112],"accurately":[114],"low":[116],"computational":[117],"cost.":[118],"reach":[122],"highly":[123],"up":[124],"99.2%":[126],"great":[129],"significance":[130],"application.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
