{"id":"https://openalex.org/W2509713331","doi":"https://doi.org/10.1109/icme.2016.7552959","title":"Hand gesture recognition based on canonical formed superpixel earth mover's distance","display_name":"Hand gesture recognition based on canonical formed superpixel earth mover's distance","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2509713331","doi":"https://doi.org/10.1109/icme.2016.7552959","mag":"2509713331"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100769643","display_name":"Chong Wang","orcid":"https://orcid.org/0000-0001-6016-6545"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chong Wang","raw_affiliation_strings":["Ningbo University"],"affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031721367","display_name":"Zhong Liu","orcid":"https://orcid.org/0000-0001-9650-6097"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhong Liu","raw_affiliation_strings":["The University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116252295","display_name":"Jieyu Zhao","orcid":"https://orcid.org/0000-0003-4844-8579"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyu Zhao","raw_affiliation_strings":["Ningbo University"],"affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100769643"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.5398,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68399206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1","last_page":"6"},"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":0.9954000115394592,"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":0.9871000051498413,"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":0.9269936680793762},{"id":"https://openalex.org/keywords/earth-movers-distance","display_name":"Earth mover's distance","score":0.8351143598556519},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.665296733379364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6512571573257446},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.610468864440918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5838353633880615},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5313699245452881},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43694862723350525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40656834840774536},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1817122995853424}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9269936680793762},{"id":"https://openalex.org/C82668687","wikidata":"https://www.wikidata.org/wiki/Q3046456","display_name":"Earth mover's distance","level":2,"score":0.8351143598556519},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.665296733379364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6512571573257446},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.610468864440918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5838353633880615},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5313699245452881},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43694862723350525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40656834840774536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1817122995853424},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W16018152","https://openalex.org/W161534010","https://openalex.org/W1965483705","https://openalex.org/W1969595749","https://openalex.org/W1969724184","https://openalex.org/W1985891935","https://openalex.org/W1999690352","https://openalex.org/W2049981393","https://openalex.org/W2055020699","https://openalex.org/W2057175746","https://openalex.org/W2067752346","https://openalex.org/W2094645604","https://openalex.org/W2111569598","https://openalex.org/W2118246710","https://openalex.org/W2128859583","https://openalex.org/W2137940226","https://openalex.org/W2159361280","https://openalex.org/W2161969291","https://openalex.org/W2165414070","https://openalex.org/W2168392347","https://openalex.org/W2319824271","https://openalex.org/W4285719527","https://openalex.org/W6606584218","https://openalex.org/W6667338850"],"related_works":["https://openalex.org/W2015573458","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"This":[0,51],"paper":[1],"presents":[2],"a":[3,20,54,88,111],"new":[4,89],"hand":[5,29,49,57,117,135],"gesture":[6,30,123,136],"recognition":[7],"algorithm":[8],"based":[9,28],"on":[10],"canonical":[11,101],"formed":[12],"superpixel":[13],"earth":[14],"mover's":[15],"distance":[16,23,90],"(CF-SP-EMD).":[17],"SP-EMD":[18,76],"is":[19],"recently":[21],"proposed":[22,128],"metric":[24,91],"designed":[25],"for":[26,116,134],"depth":[27],"recognition,":[31,137],"which":[32],"shows":[33],"promising":[34],"performance.":[35,82],"However,":[36],"in":[37,100],"real":[38],"life,":[39],"people":[40],"may":[41,71],"have":[42],"their":[43],"own":[44],"habits":[45],"while":[46],"performing":[47],"certain":[48],"gestures.":[50,118],"will":[52,79],"yield":[53],"variety":[55,70],"of":[56,75],"shapes":[58],"with":[59,65,139],"different":[60],"finger":[61,108],"poses":[62],"as":[63],"compared":[64,138],"the":[66,73,95,127,140],"standard":[67],"templates.":[68],"Such":[69],"affect":[72],"accuracy":[74],"and":[77],"hence":[78],"degrade":[80],"its":[81],"In":[83],"this":[84],"paper,":[85],"we":[86],"propose":[87],"CF-SP-EMD":[92,129],"to":[93],"alleviate":[94],"problem.":[96],"We":[97],"organize":[98],"superpixels":[99],"forms":[102],"that":[103,126],"can":[104,130],"factor":[105],"out":[106],"nonstandard":[107],"poses,":[109],"resulting":[110],"well-structured":[112],"fingerpose-neutral":[113],"shape":[114],"representation":[115],"Experimental":[119],"results":[120],"using":[121],"public":[122],"datasets":[124],"show":[125],"achieve":[131],"better":[132],"performance":[133],"state-of-art":[141],"algorithms.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}