{"id":"https://openalex.org/W2167297684","doi":"https://doi.org/10.1109/fuzzy.2011.6007367","title":"Hand motion recognition via fuzzy active curve axis Gaussian mixture models: A comparative study","display_name":"Hand motion recognition via fuzzy active curve axis Gaussian mixture models: A comparative study","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2167297684","doi":"https://doi.org/10.1109/fuzzy.2011.6007367","mag":"2167297684"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","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/A5056287221","display_name":"Zhaojie Ju","orcid":"https://orcid.org/0000-0002-9524-7609"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhaojie Ju","raw_affiliation_strings":["Intelligent Systems & Biomedical Robotics, School of Creative Technologies, University of Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems & Biomedical Robotics, School of Creative Technologies, University of Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Honghai Liu","raw_affiliation_strings":["Intelligent Systems & Biomedical Robotics, School of Creative Technologies, University of Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems & Biomedical Robotics, School of Creative Technologies, University of Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056287221"],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":0.8552,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80975528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"699","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9958000183105469,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9926999807357788,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6356523036956787},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6012796759605408},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6000654697418213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5716631412506104},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5644480586051941},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5456758737564087},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5375202894210815},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4789905250072479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47738856077194214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33619314432144165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3266468048095703},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07850342988967896}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6356523036956787},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6012796759605408},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6000654697418213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716631412506104},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5644480586051941},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5456758737564087},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5375202894210815},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4789905250072479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47738856077194214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33619314432144165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3266468048095703},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07850342988967896},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G312102245","display_name":null,"funder_award_id":"EP/G041377/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1606309185","https://openalex.org/W1748847013","https://openalex.org/W1976969815","https://openalex.org/W2006347227","https://openalex.org/W2010315317","https://openalex.org/W2035233434","https://openalex.org/W2047555270","https://openalex.org/W2061476992","https://openalex.org/W2095261246","https://openalex.org/W2098231892","https://openalex.org/W2103254706","https://openalex.org/W2109747901","https://openalex.org/W2113076747","https://openalex.org/W2115977868","https://openalex.org/W2128677288","https://openalex.org/W2141733693","https://openalex.org/W2145131654","https://openalex.org/W2149596324","https://openalex.org/W2152988638","https://openalex.org/W2155016752","https://openalex.org/W2158233635","https://openalex.org/W2164933242","https://openalex.org/W2169482286","https://openalex.org/W2543583484","https://openalex.org/W4236190184","https://openalex.org/W4302564868"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W1985844960","https://openalex.org/W1578916557","https://openalex.org/W1992295166","https://openalex.org/W2143508933","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"Unconstrained":[0],"human":[1,36,80,106],"hand":[2,81,107],"motions":[3,108],"consisting":[4],"grasp":[5],"motion":[6],"and":[7,24,32,73,100,112],"in-hand":[8,113],"manipulation":[9],"lead":[10],"to":[11,19,29,68,78,104],"a":[12,53,85],"fundamental":[13],"challenge":[14],"that":[15],"many":[16],"algorithms":[17],"have":[18],"face":[20],"in":[21],"both":[22,110],"theoretical":[23],"practical":[25],"development,":[26],"mainly":[27],"due":[28],"the":[30,35,57],"complexity":[31],"dexterity":[33],"of":[34,88],"hand.":[37],"In":[38,83],"this":[39],"paper,":[40],"fuzzy":[41,58],"active":[42,61],"curve":[43,62],"axis":[44,63],"Gaussian":[45,64],"Mixture":[46,65],"Model":[47],"(FAcaGMM)":[48],"is":[49,76,102],"proposed":[50],"by":[51],"introducing":[52],"weighting":[54],"exponent":[55],"on":[56],"membership":[59],"into":[60],"Models":[66],"(AcaGMM)":[67],"improve":[69],"its":[70],"convergence":[71],"efficiency,":[72],"then":[74],"FAcaGMM":[75],"used":[77],"recognize":[79,105],"motions.":[82],"addition,":[84],"comparative":[86],"study":[87],"recognition":[89],"methods":[90],"including":[91,109],"FAcaGMM,":[92],"Time":[93],"Clustering":[94],"(TC),":[95],"Empirical":[96],"Copula":[97],"(EC),":[98],"GMM":[99],"HMM":[101],"presented":[103],"grasps":[111],"manipulations":[114],"from":[115],"different":[116],"subjects":[117],"with":[118],"varying":[119],"training":[120],"samples.":[121]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
