{"id":"https://openalex.org/W4308234022","doi":"https://doi.org/10.1109/icip46576.2022.9897351","title":"RPFNET: Complementary Feature Fusion for Hand Gesture Recognition","display_name":"RPFNET: Complementary Feature Fusion for Hand Gesture Recognition","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308234022","doi":"https://doi.org/10.1109/icip46576.2022.9897351"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897351","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5059031679","display_name":"Do Yeon Kim","orcid":"https://orcid.org/0000-0002-7105-1935"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Do Yeon Kim","raw_affiliation_strings":["Inha University,Department of Electrical and Computer Engineering,Republic of Korea","Department of Electrical and Computer Engineering, Inha University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inha University,Department of Electrical and Computer Engineering,Republic of Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102999178","display_name":"Dae Ha Kim","orcid":"https://orcid.org/0000-0003-3838-126X"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae Ha Kim","raw_affiliation_strings":["Inha University,Department of Electrical and Computer Engineering,Republic of Korea","Department of Electrical and Computer Engineering, Inha University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inha University,Department of Electrical and Computer Engineering,Republic of Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065677543","display_name":"Byung Cheol Song","orcid":"https://orcid.org/0000-0001-8742-3433"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung Cheol Song","raw_affiliation_strings":["Inha University,Department of Electrical and Computer Engineering,Republic of Korea","Department of Electrical and Computer Engineering, Inha University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inha University,Department of Electrical and Computer Engineering,Republic of Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059031679"],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":null,"apc_paid":null,"fwci":0.2121,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.34757168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"986","last_page":"990"},"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":0.9994999766349792,"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":0.9932000041007996,"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/modalities","display_name":"Modalities","score":0.7655960917472839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7311954498291016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6417042016983032},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6307470798492432},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6249578595161438},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6135572195053101},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.552678108215332},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5346898436546326},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5041705369949341},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49775341153144836},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4974828064441681},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.44910570979118347},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.43658357858657837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41844069957733154},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33451002836227417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13824748992919922},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10548081994056702}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7655960917472839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311954498291016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6417042016983032},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6307470798492432},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6249578595161438},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6135572195053101},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.552678108215332},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5346898436546326},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5041705369949341},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49775341153144836},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4974828064441681},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.44910570979118347},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.43658357858657837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41844069957733154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33451002836227417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13824748992919922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10548081994056702},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897351","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321370","display_name":"Inha University","ror":"https://ror.org/01easw929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2141939040","https://openalex.org/W2471695703","https://openalex.org/W2608506208","https://openalex.org/W2741661204","https://openalex.org/W2771248633","https://openalex.org/W2791526950","https://openalex.org/W2904106524","https://openalex.org/W2913362834","https://openalex.org/W2949197413","https://openalex.org/W2963524571","https://openalex.org/W2964346351","https://openalex.org/W2981694290","https://openalex.org/W2988104442","https://openalex.org/W3012362498","https://openalex.org/W3034442691","https://openalex.org/W3035570025","https://openalex.org/W4251456804","https://openalex.org/W6631190155","https://openalex.org/W6728881024","https://openalex.org/W6770222251"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W2374013449","https://openalex.org/W3150655618","https://openalex.org/W73545470","https://openalex.org/W3108295644","https://openalex.org/W1578717197"],"abstract_inverted_index":{"Hand":[0],"gesture":[1],"recognition":[2],"(HGR)":[3],"is":[4,13],"one":[5],"of":[6,41,46,64,84,128],"the":[7,39,44,61,65,81,90,94,101,106,114,122,126,129],"most":[8],"challenging":[9],"tasks":[10],"because":[11],"it":[12],"very":[14],"sensitive":[15],"to":[16,37,88],"occlusion":[17],"or":[18],"background.":[19],"Various":[20],"modalities":[21],"such":[22],"as":[23,29,31],"RGB,":[24],"depth,":[25],"and":[26,48,69,79],"point":[27,49],"cloud":[28,50],"well":[30],"their":[32],"combinations":[33],"have":[34],"been":[35,56],"proposed":[36,115],"improve":[38],"performance":[40,120],"HGR,":[42],"but":[43],"fusion":[45,75],"RGB":[47],"with":[51],"complementary":[52,67],"characteristics":[53],"has":[54],"never":[55],"attempted.":[57],"This":[58],"paper":[59],"analyzes":[60],"synergistic":[62],"effect":[63],"two":[66,85],"modalities,":[68],"then":[70],"proposes":[71],"a":[72],"new":[73],"multi-modal":[74],"network":[76],"that":[77,93,113],"quantifies":[78],"converges":[80],"mutual":[82,96],"influence":[83,97],"modalities.":[86],"Also,":[87],"overcome":[89],"inherent":[91],"limitation":[92],"predicted":[95],"does":[98],"not":[99],"match":[100],"actual":[102],"one,":[103],"we":[104],"propose":[105],"self-labeling-based":[107],"adaptive":[108],"guidance.":[109],"Experimental":[110],"results":[111],"show":[112],"method":[116,124],"achieved":[117],"2.46%":[118],"higher":[119],"than":[121],"SOTA":[123],"in":[125],"case":[127],"NVGesture":[130],"dataset.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}