{"id":"https://openalex.org/W2986750047","doi":"https://doi.org/10.23919/eusipco.2019.8902558","title":"Graph Spectral Domain Features for Static Hand Gesture Recognition","display_name":"Graph Spectral Domain Features for Static Hand Gesture Recognition","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2986750047","doi":"https://doi.org/10.23919/eusipco.2019.8902558","mag":"2986750047"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8902558","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009835688","display_name":"Basheer Alwaely","orcid":"https://orcid.org/0000-0002-1845-2641"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Basheer Alwaely","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035952586","display_name":"Charith Abhayaratne","orcid":"https://orcid.org/0000-0002-2799-7395"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charith Abhayaratne","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":0.186,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39544861,"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":"1","last_page":"5"},"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":0.9951000213623047,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9107999801635742,"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/computer-science","display_name":"Computer science","score":0.729320228099823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.576613187789917},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.557274341583252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5469231605529785},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5385969281196594},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5187771320343018},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4874913692474365},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4842112064361572},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.453851580619812},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.44563931226730347},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4102206528186798},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4096573293209076},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3291299343109131},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28081896901130676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729320228099823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.576613187789917},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.557274341583252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5469231605529785},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5385969281196594},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5187771320343018},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4874913692474365},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4842112064361572},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.453851580619812},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.44563931226730347},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4102206528186798},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4096573293209076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3291299343109131},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28081896901130676}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2019.8902558","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:154713","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1969595749","https://openalex.org/W1985891935","https://openalex.org/W2004991485","https://openalex.org/W2014577273","https://openalex.org/W2101491865","https://openalex.org/W2107940287","https://openalex.org/W2164109418","https://openalex.org/W2219948256","https://openalex.org/W2291184613","https://openalex.org/W2540980527","https://openalex.org/W2543872873","https://openalex.org/W2766137121","https://openalex.org/W2903140870"],"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/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W1694785277"],"abstract_inverted_index":{"The":[0,105],"graph":[1,23,43,51,103],"spectral":[2,24,52],"processing":[3],"is":[4,38],"gaining":[5],"increasing":[6],"interest":[7],"in":[8],"the":[9,19,22,36,42,58,73,85,88,120,123,128],"computer":[10],"vision":[11],"society":[12],"because":[13],"of":[14,87,122],"its":[15],"ability":[16,86],"to":[17,34,39,99,127],"characterize":[18],"shape.":[20],"However,":[21],"methods":[25,130],"are":[26,97,108],"usually":[27],"high":[28],"computational":[29],"cost":[30],"and":[31,61,134],"one":[32],"solution":[33],"simplify":[35],"problem":[37],"automatically":[40],"divide":[41],"into":[44],"several":[45,117],"sub-graphs.":[46],"Therefore,":[47],"we":[48,62,83],"utilize":[49],"a":[50,64,101],"domain":[53],"feature":[54],"representation":[55],"based":[56,71,115],"on":[57,72,116],"shape":[59,74],"silhouette":[60],"introduce":[63],"fully":[65],"automatic":[66],"divisive":[67],"hierarchical":[68],"clustering":[69],"method":[70,125],"skeleton":[75],"for":[76,91,110,136],"static":[77],"hand":[78],"gesture":[79],"recognition.":[80],"In":[81],"particular,":[82],"establish":[84],"Fiedler":[89],"vector":[90],"partitioning":[92],"3D":[93],"shapes.":[94],"Several":[95],"rules":[96],"applied":[98],"achieve":[100],"stable":[102],"segmentation.":[104],"generated":[106],"sub-graphs":[107],"used":[109],"matching":[111],"purposes.":[112],"Supporting":[113],"results":[114],"datasets":[118],"demonstrate":[119],"performance":[121],"proposed":[124],"compared":[126],"state-of-the-art":[129],"by":[131],"increment":[132],"0.3%":[133],"3.8%":[135],"two":[137],"datasets.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}