{"id":"https://openalex.org/W2166855747","doi":"https://doi.org/10.1109/fuzzy.2008.4630530","title":"A fuzzy qualitative approach to human motion recognition","display_name":"A fuzzy qualitative approach to human motion recognition","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2166855747","doi":"https://doi.org/10.1109/fuzzy.2008.4630530","mag":"2166855747"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","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/A5070805897","display_name":"Chee Seng Chan","orcid":"https://orcid.org/0000-0001-7677-2865"},"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":"Chee Seng Chan","raw_affiliation_strings":["Institute of Industrial Research, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Research, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","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":["Institute of Industrial Research, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Research, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068446705","display_name":"David J. Brown","orcid":null},"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":"David Brown","raw_affiliation_strings":["Institute of Industrial Research, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Research, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089261450","display_name":"Naoyuki Kubota","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["Department of System Design, Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070805897"],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":0.3547,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.68491388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1242","last_page":"1249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9988999962806702,"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":0.9962999820709229,"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":0.6672738790512085},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6500506401062012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6322364807128906},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5943305492401123},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5725757479667664},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5330919623374939},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5187630653381348},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5087459683418274},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5056326389312744},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4715167284011841},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46615633368492126},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.45574262738227844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4055708348751068}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672738790512085},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6500506401062012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322364807128906},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5943305492401123},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5725757479667664},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5330919623374939},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5187630653381348},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5087459683418274},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5056326389312744},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4715167284011841},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46615633368492126},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.45574262738227844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4055708348751068},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzzy.2008.4630530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.727.3123","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.727.3123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.fsktm.um.edu.my/%7Ecschan/doc/FUZZ2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W48287115","https://openalex.org/W1511275394","https://openalex.org/W1564897360","https://openalex.org/W1643263348","https://openalex.org/W1910567995","https://openalex.org/W2010399676","https://openalex.org/W2034328688","https://openalex.org/W2038949882","https://openalex.org/W2073140603","https://openalex.org/W2093691623","https://openalex.org/W2111354442","https://openalex.org/W2115213191","https://openalex.org/W2116494851","https://openalex.org/W2125838338","https://openalex.org/W2131341528","https://openalex.org/W2137806997","https://openalex.org/W2152239535","https://openalex.org/W2153691007","https://openalex.org/W2153913867","https://openalex.org/W2159206566","https://openalex.org/W2161406034","https://openalex.org/W2161866293","https://openalex.org/W3143123399","https://openalex.org/W3217246742","https://openalex.org/W4249279051","https://openalex.org/W6601940726","https://openalex.org/W6630598555","https://openalex.org/W6636836683","https://openalex.org/W6682606256"],"related_works":["https://openalex.org/W2000407620","https://openalex.org/W2687972263","https://openalex.org/W2029249305","https://openalex.org/W2511137960","https://openalex.org/W3214088465","https://openalex.org/W2115571026","https://openalex.org/W2604231787","https://openalex.org/W2610014769","https://openalex.org/W4321142835","https://openalex.org/W3084370450"],"abstract_inverted_index":{"The":[0],"understanding":[1],"of":[2,65,72,100,115,141,156,178],"human":[3,86],"motions":[4],"captured":[5],"in":[6,24,89,122,127,183],"image":[7,91],"sequences":[8],"pose":[9],"two":[10,215],"main":[11],"difficulties":[12],"which":[13,61],"are":[14,46,56,104],"often":[15],"regarded":[16,135],"as":[17,40,42,136,171],"computationally":[18],"ill-defined:":[19],"1)":[20],"modelling":[21],"the":[22,25,63,74,85,94,98,101,108,153,161,184,193,200,214],"uncertainty":[23,95],"training":[26,75,110],"data,":[27],"and":[28,189,206],"2)":[29],"constructing":[30],"a":[31,59,78,113,123,131,137,148,175,190,208],"generic":[32],"activity":[33,80,169],"representation":[34],"that":[35,45,133,159,199],"can":[36],"describe":[37,152],"simple":[38],"actions":[39],"well":[41],"complicated":[43],"tasks":[44],"performed":[47],"by":[48,83,106],"different":[49],"humans.":[50],"In":[51],"this":[52],"paper,":[53],"these":[54,168],"problems":[55],"addressed":[57],"from":[58],"direction":[60],"utilises":[62],"concept":[64],"fuzzy":[66],"qualitative":[67,120,172],"robot":[68,146],"kinematics":[69],"[9].":[70],"First":[71],"all,":[73],"data":[76,111],"representing":[77],"typical":[79],"is":[81,134,203],"acquired":[82],"tracking":[84,102],"anatomical":[87],"landmarks":[88],"an":[90],"sequences.":[92],"Then,":[93],"arise":[96],"when":[97],"limitations":[99],"algorithm":[103],"handled":[105],"transforming":[107],"continuous":[109],"into":[112],"set":[114],"discrete":[116],"symbolic":[117],"representations":[118],"-":[119],"states":[121],"quantisation":[124],"process.":[125],"Finally,":[126],"order":[128],"to":[129,151],"construct":[130],"template":[132],"combination":[138],"ordered":[139],"sequence":[140],"all":[142],"body":[143],"segments":[144],"movements,":[145],"kinematics,":[147],"well-defined":[149],"solution":[150],"resulting":[154],"motion":[155,217],"rigid":[157],"bodies":[158],"form":[160],"robot,":[162],"has":[163],"been":[164],"employed.":[165],"We":[166],"defined":[167],"templates":[170],"normalised":[173],"templates,":[174],"manifold":[176],"trajectory":[177],"unique":[179],"state":[180],"transition":[181],"patterns":[182],"quantity":[185],"space.":[186],"Experimental":[187],"results":[188],"comparison":[191],"with":[192],"hidden":[194],"Markov":[195],"models":[196],"have":[197],"demonstrated":[198],"proposed":[201],"method":[202],"very":[204],"encouraging":[205],"shown":[207],"better":[209],"successful":[210],"recognition":[211],"rate":[212],"on":[213],"available":[216],"databases.":[218]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
