{"id":"https://openalex.org/W3110649289","doi":"https://doi.org/10.1142/s0219843620500255","title":"Improve Inter-day Hand Gesture Recognition Via Convolutional Neural Network-based Feature Fusion","display_name":"Improve Inter-day Hand Gesture Recognition Via Convolutional Neural Network-based Feature Fusion","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3110649289","doi":"https://doi.org/10.1142/s0219843620500255","mag":"3110649289"},"language":"en","primary_location":{"id":"doi:10.1142/s0219843620500255","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219843620500255","pdf_url":null,"source":{"id":"https://openalex.org/S75343556","display_name":"International Journal of Humanoid Robotics","issn_l":"0219-8436","issn":["0219-8436","1793-6942"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Humanoid Robotics","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/A5103126102","display_name":"Yinfeng Fang","orcid":"https://orcid.org/0000-0001-5794-8925"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinfeng Fang","raw_affiliation_strings":["College of Telecommunication, Hangzhou Dianzi University, 1158, No. 2 Avenue, Xiasha, Hangzhou 310018, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunication, Hangzhou Dianzi University, 1158, No. 2 Avenue, Xiasha, Hangzhou 310018, P. R. China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709506","display_name":"Xuguang Zhang","orcid":"https://orcid.org/0000-0001-8684-5802"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuguang Zhang","raw_affiliation_strings":["College of Telecommunication, Hangzhou Dianzi University, 1158, No. 2 Avenue, Xiasha, Hangzhou 310018, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunication, Hangzhou Dianzi University, 1158, No. 2 Avenue, Xiasha, Hangzhou 310018, P. R. China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045025939","display_name":"Dalin Zhou","orcid":"https://orcid.org/0000-0003-2363-9125"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dalin Zhou","raw_affiliation_strings":["Intelligent Systems and Biomedical Robotics Group, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Biomedical Robotics Group, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Honghai Liu","raw_affiliation_strings":["Intelligent Systems and Biomedical Robotics Group, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK","School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Biomedical Robotics Group, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK","institution_ids":["https://openalex.org/I63072094"]},{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103126102"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":1.6308,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.82789236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"02","first_page":"2050025","last_page":"2050025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8522130250930786},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7767425179481506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7286800146102905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6746611595153809},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6171753406524658},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5638414621353149},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4998657703399658},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4458610415458679},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44339659810066223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4276607036590576},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3517306447029114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8522130250930786},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7767425179481506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7286800146102905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6746611595153809},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6171753406524658},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5638414621353149},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4998657703399658},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4458610415458679},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44339659810066223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4276607036590576},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3517306447029114},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219843620500255","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219843620500255","pdf_url":null,"source":{"id":"https://openalex.org/S75343556","display_name":"International Journal of Humanoid Robotics","issn_l":"0219-8436","issn":["0219-8436","1793-6942"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Humanoid Robotics","raw_type":"journal-article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/41ecccf3-6dfa-4ed9-a0c1-e9e9ecb15d02","is_oa":false,"landing_page_url":"https://researchportal.port.ac.uk/portal/en/publications/improve-interday-hand-gesture-recognition-via-convolutional-neural-network-based-feature-fusion(41ecccf3-6dfa-4ed9-a0c1-e9e9ecb15d02).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1454593242","display_name":null,"funder_award_id":"600915","funder_id":"https://openalex.org/F4320338352","funder_display_name":"FP7 Ideas: European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338352","display_name":"FP7 Ideas: European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1560705737","https://openalex.org/W1990121589","https://openalex.org/W1991483950","https://openalex.org/W2004931716","https://openalex.org/W2019889305","https://openalex.org/W2062524566","https://openalex.org/W2066327120","https://openalex.org/W2066519883","https://openalex.org/W2070181014","https://openalex.org/W2089884466","https://openalex.org/W2095549742","https://openalex.org/W2095705004","https://openalex.org/W2106557140","https://openalex.org/W2110119146","https://openalex.org/W2118088779","https://openalex.org/W2119008936","https://openalex.org/W2123167643","https://openalex.org/W2123917016","https://openalex.org/W2125402361","https://openalex.org/W2138857742","https://openalex.org/W2138967075","https://openalex.org/W2155692114","https://openalex.org/W2165619603","https://openalex.org/W2169931829","https://openalex.org/W2237534788","https://openalex.org/W2312909726","https://openalex.org/W2418845879","https://openalex.org/W2516710120","https://openalex.org/W2555541061","https://openalex.org/W2564965427","https://openalex.org/W2589747988","https://openalex.org/W2684229413","https://openalex.org/W2733370675","https://openalex.org/W2765431510","https://openalex.org/W2768956845","https://openalex.org/W2771579111","https://openalex.org/W2795284913","https://openalex.org/W2886903801","https://openalex.org/W2947553765","https://openalex.org/W2958266761","https://openalex.org/W2970288318","https://openalex.org/W2973700007","https://openalex.org/W3042696757"],"related_works":["https://openalex.org/W4402452563","https://openalex.org/W2250488071","https://openalex.org/W2356150353","https://openalex.org/W4293226380","https://openalex.org/W2090763504","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006"],"abstract_inverted_index":{"The":[0],"learning":[1,229],"of":[2,5,63,71,228],"inter-day":[3,27],"representation":[4],"electromyographic":[6],"(EMG)":[7],"signals":[8,201],"across":[9,202],"multiple":[10,163,203,206],"days":[11,51,204],"remains":[12],"a":[13,53,79,214],"challenging":[14],"topic":[15],"and":[16,66,116,205,208],"not":[17],"fully":[18,74],"accommodated":[19],"yet.":[20],"This":[21,58],"study":[22,59],"aims":[23],"to":[24,84,105,134,220],"improve":[25],"the":[26,69,72,85,101,106,135,138,145,148,156,198,226],"hand":[28],"motion":[29,178],"classification":[30],"accuracy":[31,126,139,222],"via":[32,52],"convolutional":[33],"neural":[34],"network":[35],"(CNN)-based":[36],"data":[37,165],"feature":[38,64,82,109],"fusion.":[39],"An":[40],"EMG":[41,200],"database":[42],"(ISRMyo-I)":[43],"was":[44,78],"recorded":[45],"from":[46,197],"six":[47],"subjects":[48],"on":[49],"10":[50],"low":[54],"density":[55],"electrode":[56],"setting.":[57],"investigated":[60],"CNNs\u2019":[61],"capability":[62],"learning,":[65],"found":[67],"that":[68,155,188,213],"output":[70],"first":[73],"connected":[75],"layer":[76],"(CNNFeats)":[77],"decent":[80],"supplement":[81],"set":[83],"most":[86],"prevalent":[87],"Hudgins\u2019":[88],"time":[89],"domain":[90],"features":[91],"in":[92,144],"combination":[93],"with":[94,147],"fourth-order":[95],"autoregressive":[96],"coefficients":[97],"(TDAR).":[98],"Through":[99],"adding":[100],"automatically":[102],"learned":[103,194],"CNNFeats":[104],"handcrafted":[107],"TDAR":[108,130],"set,":[110],"both":[111],"linear":[112],"discriminant":[113],"analysis":[114],"(LDA)":[115],"support":[117],"vector":[118],"machine":[119],"(SVM)":[120],"classifiers":[121],"received":[122],"[Formula:":[123,141],"see":[124,142],"text]3%":[125],"improvement.":[127],"Similarly,":[128],"taking":[129],"as":[131,223,225],"additional":[132],"input":[133],"CNN":[136,157,216],"improved":[137],"by":[140,195],"text]1%":[143],"comparison":[146],"basic":[149],"CNN.":[150],"Our":[151],"results":[152],"also":[153],"demonstrated":[154],"approach":[158],"outperformed":[159],"conventional":[160],"approaches":[161,172],"when":[162],"subjects\u2019":[164],"were":[166,173],"available":[167],"for":[168,180],"training,":[169],"while":[170],"traditional":[171],"more":[174],"adept":[175],"at":[176],"presenting":[177],"patterns":[179],"single":[181],"subject.":[182],"A":[183],"preliminary":[184],"conclusion":[185],"is":[186,211],"drawn":[187],"substantial":[189],"\u201ccommon":[190],"knowledge/features\u201d":[191],"can":[192],"be":[193],"CNNs":[196],"raw":[199],"subjects,":[207],"thus":[209],"it":[210],"believed":[212],"pre-trained":[215],"model":[217],"would":[218],"contribute":[219],"higher":[221],"well":[224],"reduction":[227],"burden.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
