{"id":"https://openalex.org/W2944068606","doi":"https://doi.org/10.1109/tmm.2019.2915032","title":"A Novel Sign Language Recognition Framework Using Hierarchical Grassmann Covariance Matrix","display_name":"A Novel Sign Language Recognition Framework Using Hierarchical Grassmann Covariance Matrix","publication_year":2019,"publication_date":"2019-05-07","ids":{"openalex":"https://openalex.org/W2944068606","doi":"https://doi.org/10.1109/tmm.2019.2915032","mag":"2944068606"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2915032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2915032","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5039723440","display_name":"Hanjie Wang","orcid":"https://orcid.org/0000-0001-9400-814X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjie Wang","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Institute of Computing Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003198738","display_name":"Xiujuan Chai","orcid":"https://orcid.org/0000-0002-2757-9900"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujuan Chai","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Institute of Computing Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2757-9900","affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083420537","display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Chen","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Institute of Computing Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":4.2975,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94511586,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"11","first_page":"2806","last_page":"2814"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9887999892234802,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.765073299407959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7270693182945251},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6754009127616882},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6098677515983582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5797394514083862},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5193656086921692},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.49411776661872864},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4933830797672272},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.49032190442085266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30838894844055176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26817673444747925}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.765073299407959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270693182945251},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6754009127616882},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6098677515983582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5797394514083862},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5193656086921692},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.49411776661872864},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4933830797672272},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.49032190442085266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30838894844055176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26817673444747925},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2019.2915032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2915032","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G7617127572","display_name":null,"funder_award_id":"2015CB351802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1506441995","https://openalex.org/W1534763723","https://openalex.org/W1540630416","https://openalex.org/W1549083695","https://openalex.org/W1550277507","https://openalex.org/W1567825911","https://openalex.org/W1643761381","https://openalex.org/W1922045146","https://openalex.org/W1923186697","https://openalex.org/W1950788856","https://openalex.org/W1965483705","https://openalex.org/W1969724184","https://openalex.org/W1975292803","https://openalex.org/W1978511849","https://openalex.org/W1983496390","https://openalex.org/W1986964250","https://openalex.org/W1987474052","https://openalex.org/W2040448851","https://openalex.org/W2071414260","https://openalex.org/W2094489557","https://openalex.org/W2095687464","https://openalex.org/W2096910120","https://openalex.org/W2096976709","https://openalex.org/W2097384738","https://openalex.org/W2102170500","https://openalex.org/W2108036388","https://openalex.org/W2113512957","https://openalex.org/W2116030300","https://openalex.org/W2123697922","https://openalex.org/W2126017757","https://openalex.org/W2141830256","https://openalex.org/W2144994235","https://openalex.org/W2165949176","https://openalex.org/W2285716245","https://openalex.org/W2290727245","https://openalex.org/W2307035320","https://openalex.org/W2310695943","https://openalex.org/W2341398492","https://openalex.org/W2346219687","https://openalex.org/W2548185160","https://openalex.org/W2587277634","https://openalex.org/W2759302818","https://openalex.org/W2769602762","https://openalex.org/W2952587893","https://openalex.org/W2997426117","https://openalex.org/W6632974146","https://openalex.org/W6634101723","https://openalex.org/W6640204118","https://openalex.org/W6640754710","https://openalex.org/W6660488849","https://openalex.org/W6674379908","https://openalex.org/W6674610641","https://openalex.org/W6676539354","https://openalex.org/W6698200468"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2142324288","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"Visual":[0],"sign":[1,25,45,82,119],"language":[2],"recognition":[3],"is":[4,22,36,46,75,100,109],"an":[5],"interesting":[6],"and":[7,55,71,114,116],"challenging":[8],"problem.":[9],"To":[10],"create":[11],"a":[12,15,28,44,68,101],"discriminative":[13,72],"representation,":[14],"hierarchical":[16],"Grassmann":[17,79],"covariance":[18,50,63],"matrix":[19],"(HGCM)":[20],"model":[21],"proposed":[23,107,135],"for":[24,38],"description.":[26],"Furthermore,":[27],"multi-temporal":[29],"belief":[30],"propagation":[31],"(MTBP)":[32],"based":[33],"segmentation":[34],"approach":[35],"presented":[37],"continuous":[39,118],"sequence":[40],"spotting.":[41],"Concretely":[42],"speaking,":[43],"represented":[47],"by":[48,53,88,97],"multiple":[49],"matrices,":[51],"followed":[52],"evaluating":[54],"selecting":[56],"their":[57],"most":[58],"significant":[59],"singular":[60],"vectors.":[61],"These":[62],"matrices":[64],"are":[65],"transformed":[66],"into":[67],"more":[69],"compact":[70],"HGCM,":[73],"which":[74,99],"formulated":[76],"on":[77,112,124],"the":[78,91,131],"manifold.":[80],"Continuous":[81],"sequences":[83],"can":[84],"be":[85],"recognized":[86],"frame":[87,89],"using":[90],"HGCM":[92],"model,":[93],"before":[94],"being":[95],"optimized":[96],"MTBP,":[98],"carefully":[102],"designed":[103],"graphic":[104],"model.":[105],"The":[106],"method":[108],"thoroughly":[110],"evaluated":[111],"isolated":[113],"synthetic":[115],"real":[117],"datasets":[120],"as":[121,123],"well":[122],"HDM05.":[125],"Extensive":[126],"experimental":[127],"results":[128],"convincingly":[129],"show":[130],"effectiveness":[132],"of":[133],"our":[134],"framework.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
