{"id":"https://openalex.org/W2970494207","doi":"https://doi.org/10.1109/icip.2019.8803813","title":"Continuous Hand Gesture Spotting and Classification Using 3D Finger Joints Information","display_name":"Continuous Hand Gesture Spotting and Classification Using 3D Finger Joints Information","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970494207","doi":"https://doi.org/10.1109/icip.2019.8803813","mag":"2970494207"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5103865293","display_name":"Nguyen Ngoc Hoang","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nguyen Ngoc Hoang","raw_affiliation_strings":["Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070936425","display_name":"Guee-Sang Lee","orcid":"https://orcid.org/0000-0002-8756-1382"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Guee-Sang Lee","raw_affiliation_strings":["Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605822","display_name":"Soo-Hyung Kim","orcid":"https://orcid.org/0000-0003-3575-5035"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Hyung Kim","raw_affiliation_strings":["Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087619194","display_name":"Hyung-Jeong Yang","orcid":"https://orcid.org/0000-0003-3024-5060"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-Jeong Yang","raw_affiliation_strings":["Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103865293"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":null,"apc_paid":null,"fwci":1.2157,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8014513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"539","last_page":"543"},"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":0.9997000098228455,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8703832030296326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8178502321243286},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6598128080368042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107078790664673},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.5886328220367432},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5787116289138794},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5669960975646973},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5406169295310974},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.4405028820037842},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3988941013813019},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38731256127357483}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8703832030296326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8178502321243286},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6598128080368042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107078790664673},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.5886328220367432},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5787116289138794},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5669960975646973},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5406169295310974},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.4405028820037842},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3988941013813019},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38731256127357483}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1550277507","https://openalex.org/W1755205674","https://openalex.org/W1867429401","https://openalex.org/W2101032778","https://openalex.org/W2115161749","https://openalex.org/W2116030300","https://openalex.org/W2120701504","https://openalex.org/W2127141656","https://openalex.org/W2133728753","https://openalex.org/W2295038166","https://openalex.org/W2307770531","https://openalex.org/W2413983136","https://openalex.org/W2471695703","https://openalex.org/W2475715656","https://openalex.org/W2546353648","https://openalex.org/W2609582631","https://openalex.org/W2756050327","https://openalex.org/W2765354204","https://openalex.org/W2773011574","https://openalex.org/W2783764669","https://openalex.org/W2796963590","https://openalex.org/W2798498022","https://openalex.org/W2962811204","https://openalex.org/W2963681914","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6632974146","https://openalex.org/W6639126518","https://openalex.org/W6697925102","https://openalex.org/W6729320488"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","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"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"approach":[5,17,119,142],"for":[6,12,71],"continuous":[7,32],"dynamic":[8],"hand":[9,57],"gesture":[10,25,41,50,72,77,139],"recognition":[11],"RGB":[13],"video":[14,29],"input.":[15],"Our":[16,141],"contains":[18],"two":[19,80],"main":[20],"modules.":[21],"Firstly,":[22],"in":[23],"the":[24,28,40,45,49,53,56,76,98,151],"spotting":[26,51,73],"module,":[27,52,79],"sequence":[30],"with":[31],"gestures":[33],"are":[34,62,93],"pre-segmented":[35],"into":[36,64],"isolated":[37],"gestures.":[38,47],"Secondly,":[39],"classification":[42,78],"module":[43],"classifies":[44],"segmented":[46],"In":[48,75],"motion":[54],"of":[55,100,117,147],"palm":[58],"and":[59,86,109,135],"finger":[60],"movements":[61],"fed":[63],"Bidirectional":[65],"Long":[66,88],"Short-Term":[67,89],"Memory":[68,90],"(Bi-LSTM)":[69],"network":[70,92],"purpose.":[74],"3D":[81,110],"Convolution":[82],"Neural":[83],"Networks":[84],"(3D_CNN)":[85],"one":[87],"(LSTM)":[91],"combined":[94],"to":[95],"efficiently":[96],"utilize":[97],"combination":[99],"multiple":[101],"data":[102],"channels":[103],"such":[104],"as":[105],"RGB,":[106],"Optical":[107],"Flow,":[108],"key":[111],"pose":[112],"positions.":[113],"The":[114],"promising":[115],"performance":[116],"our":[118],"is":[120],"obtained":[121],"by":[122],"experiments":[123],"conducted":[124],"on":[125,154],"three":[126],"publish":[127],"datasets":[128],"-":[129],"Chalearn":[130,155],"LAP":[131,156],"ConGD":[132,157],"dataset,":[133],"20BN-Jester,":[134],"NVIDIA":[136],"Dynamic":[137],"Hand":[138],"Dataset.":[140],"achieves":[143],"mean":[144],"Jaccard":[145],"Index":[146],"0.5535,":[148],"which":[149],"outperforms":[150],"state-of-the-art":[152],"methods":[153],"dataset.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-04T07:04:00.330322","created_date":"2025-10-10T00:00:00"}