{"id":"https://openalex.org/W3107892667","doi":"https://doi.org/10.1109/jas.2020.1003465","title":"Dynamic hand gesture recognition based on short-term sampling neural networks","display_name":"Dynamic hand gesture recognition based on short-term sampling neural networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3107892667","doi":"https://doi.org/10.1109/jas.2020.1003465","mag":"3107892667"},"language":"en","primary_location":{"id":"doi:10.1109/jas.2020.1003465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2020.1003465","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/CAA Journal of Automatica Sinica","raw_type":"journal-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/A5101573507","display_name":"Wenjin Zhang","orcid":"https://orcid.org/0000-0003-4593-1936"},"institutions":[{"id":"https://openalex.org/I141450709","display_name":"Monmouth University","ror":"https://ror.org/01d6qxv05","country_code":"US","type":"education","lineage":["https://openalex.org/I141450709"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjin Zhang","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Monmouth University, New Jersey 07740 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Monmouth University, New Jersey 07740 USA","institution_ids":["https://openalex.org/I141450709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069580705","display_name":"Jiacun Wang","orcid":"https://orcid.org/0000-0003-4176-3947"},"institutions":[{"id":"https://openalex.org/I141450709","display_name":"Monmouth University","ror":"https://ror.org/01d6qxv05","country_code":"US","type":"education","lineage":["https://openalex.org/I141450709"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiacun Wang","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Monmouth University, New Jersey 07740 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Monmouth University, New Jersey 07740 USA","institution_ids":["https://openalex.org/I141450709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039398718","display_name":"Fangping Lan","orcid":"https://orcid.org/0009-0005-3675-5135"},"institutions":[{"id":"https://openalex.org/I141450709","display_name":"Monmouth University","ror":"https://ror.org/01d6qxv05","country_code":"US","type":"education","lineage":["https://openalex.org/I141450709"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangping Lan","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Monmouth University, New Jersey 07740 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Monmouth University, New Jersey 07740 USA","institution_ids":["https://openalex.org/I141450709"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141450709"],"apc_list":null,"apc_paid":null,"fwci":18.6991,"has_fulltext":false,"cited_by_count":179,"citation_normalized_percentile":{"value":0.99680832,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"8","issue":"1","first_page":"110","last_page":"120"},"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":0.9994000196456909,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9883999824523926,"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":0.8031060695648193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7401435375213623},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7236820459365845},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7186946272850037},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6710326075553894},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.662488579750061},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5871443748474121},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.578528642654419},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5459531545639038},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4819645583629608},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4781257212162018},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.47450491786003113},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4563201069831848},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41189080476760864},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20512712001800537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8031060695648193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7401435375213623},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7236820459365845},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7186946272850037},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6710326075553894},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.662488579750061},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5871443748474121},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.578528642654419},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5459531545639038},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4819645583629608},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4781257212162018},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.47450491786003113},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4563201069831848},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41189080476760864},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20512712001800537},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jas.2020.1003465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2020.1003465","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W914561379","https://openalex.org/W1543746004","https://openalex.org/W1923404803","https://openalex.org/W2016053056","https://openalex.org/W2052101136","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2096976709","https://openalex.org/W2112796928","https://openalex.org/W2141125852","https://openalex.org/W2144232362","https://openalex.org/W2156303437","https://openalex.org/W2160726327","https://openalex.org/W2165698076","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2293634267","https://openalex.org/W2471695703","https://openalex.org/W2507009361","https://openalex.org/W2540989424","https://openalex.org/W2608988379","https://openalex.org/W2737327755","https://openalex.org/W2756247023","https://openalex.org/W2769575562","https://openalex.org/W2770267376","https://openalex.org/W2770491442","https://openalex.org/W2782816442","https://openalex.org/W2829536470","https://openalex.org/W2905706796","https://openalex.org/W2909853325","https://openalex.org/W2913362834","https://openalex.org/W2947821749","https://openalex.org/W2954002255","https://openalex.org/W2954452615","https://openalex.org/W2963177663","https://openalex.org/W2963315828","https://openalex.org/W2963681914","https://openalex.org/W2963886665","https://openalex.org/W2981548405","https://openalex.org/W3012362498"],"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/W2989699735","https://openalex.org/W4390414234","https://openalex.org/W4281387910"],"abstract_inverted_index":{"Hand":[0],"gestures":[1],"are":[2,100,128],"a":[3,17,29,70,105,131,139],"natural":[4],"way":[5],"for":[6,34,110,115],"human-robot":[7],"interaction.":[8],"Vision":[9],"based":[10],"dynamic":[11],"hand":[12,35,154,192],"gesture":[13,36,155],"recognition":[14],"has":[15,148,180],"become":[16],"hot":[18],"research":[19],"topic":[20],"due":[21],"to":[22,45],"its":[23],"various":[24],"applications.":[25],"This":[26],"paper":[27],"presents":[28],"novel":[30],"deep":[31],"learning":[32],"network":[33,39,108],"recognition.":[37],"The":[38,113,145,174],"integrates":[40],"several":[41],"well-proved":[42],"modules":[43],"together":[44],"learn":[46,61,121],"both":[47],"short-term":[48,62,133],"and":[49,55,84,102,161],"long-term":[50],"features":[51],"from":[52,81,125],"video":[53,65],"inputs":[54],"meanwhile":[56],"avoid":[57],"intensive":[58],"computation.":[59],"To":[60,120],"features,":[63,123],"each":[64,82],"input":[66],"is":[67,78,143],"segmented":[68],"into":[69,104,130],"fixed":[71],"number":[72],"of":[73,176,191],"frame":[74,77],"groups.":[75],"A":[76],"randomly":[79],"selected":[80],"group":[83],"represented":[85],"as":[86,90,92],"an":[87,93,185],"RGB":[88],"image":[89],"well":[91],"optical":[94],"flow":[95],"snapshot.":[96],"These":[97],"two":[98,152],"entities":[99],"fused":[101],"fed":[103,129],"convolutional":[106],"neural":[107],"(ConvNet)":[109],"feature":[111],"extraction.":[112],"ConvNets":[114,127],"all":[116,126],"groups":[117],"share":[118],"parameters.":[119],"longterm":[122],"outputs":[124],"long":[132],"memory":[134],"(LSTM)":[135],"network,":[136],"by":[137],"which":[138],"final":[140],"classification":[141],"result":[142],"predicted.":[144],"new":[146,178],"model":[147,169,179],"been":[149,182],"tested":[150],"with":[151,165,184,188],"popular":[153],"datasets,":[156],"namely":[157],"the":[158,177],"Jester":[159],"dataset":[160,187],"Nvidia":[162],"dataset.":[163],"Comparing":[164],"other":[166],"models,":[167],"our":[168],"produced":[170],"very":[171],"competitive":[172],"results.":[173],"robustness":[175],"also":[181],"proved":[183],"augmented":[186],"enhanced":[189],"diversity":[190],"gestures.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":30},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":53},{"year":2021,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}