{"id":"https://openalex.org/W2119707293","doi":"https://doi.org/10.1109/fuzzy.2008.4630430","title":"Grasp recognition by time-clustering, fuzzy modeling, and Hidden Markov Models (HMM) - a comparative study","display_name":"Grasp recognition by time-clustering, fuzzy modeling, and Hidden Markov Models (HMM) - a comparative study","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2119707293","doi":"https://doi.org/10.1109/fuzzy.2008.4630430","mag":"2119707293"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2008.4630430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630430","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/A5024471324","display_name":"Rainer Palm","orcid":null},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Rainer Palm","raw_affiliation_strings":["AASS, Department of Technology, \u00d6rebro University, Orebro, Sweden","Dept. of Technol., Orebro Univ., Orebro"],"affiliations":[{"raw_affiliation_string":"AASS, Department of Technology, \u00d6rebro University, Orebro, Sweden","institution_ids":["https://openalex.org/I26437253"]},{"raw_affiliation_string":"Dept. of Technol., Orebro Univ., Orebro","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080922405","display_name":"Boyko Iliev","orcid":null},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Boyko Iliev","raw_affiliation_strings":["AASS, Department of Technology, \u00d6rebro University, Orebro, Sweden","AASS, Dept. of Technology \u00d6rebro, University SE-70182, Sweden"],"affiliations":[{"raw_affiliation_string":"AASS, Department of Technology, \u00d6rebro University, Orebro, Sweden","institution_ids":["https://openalex.org/I26437253"]},{"raw_affiliation_string":"AASS, Dept. of Technology \u00d6rebro, University SE-70182, Sweden","institution_ids":["https://openalex.org/I26437253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024471324"],"corresponding_institution_ids":["https://openalex.org/I26437253"],"apc_list":null,"apc_paid":null,"fwci":6.58,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.96320739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"599","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9957000017166138,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.9585286378860474},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7296990752220154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7048696875572205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6314431428909302},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6107121706008911},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.60030597448349},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5340323448181152},{"id":"https://openalex.org/keywords/programming-by-demonstration","display_name":"Programming by demonstration","score":0.4731491804122925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4466696083545685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39285510778427124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3225787281990051}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.9585286378860474},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7296990752220154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7048696875572205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314431428909302},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6107121706008911},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.60030597448349},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5340323448181152},{"id":"https://openalex.org/C2779038628","wikidata":"https://www.wikidata.org/wiki/Q7248497","display_name":"Programming by demonstration","level":3,"score":0.4731491804122925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4466696083545685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39285510778427124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3225787281990051},{"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.2008.4630430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2008.4630430","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1484433997","https://openalex.org/W1748847013","https://openalex.org/W2061476992","https://openalex.org/W2063810406","https://openalex.org/W2079325629","https://openalex.org/W2120528979","https://openalex.org/W2122322045","https://openalex.org/W2124926399","https://openalex.org/W2125838338","https://openalex.org/W2131535595","https://openalex.org/W2141733693","https://openalex.org/W2144573888","https://openalex.org/W2152769975","https://openalex.org/W2158662146"],"related_works":["https://openalex.org/W2577369411","https://openalex.org/W2147505856","https://openalex.org/W2944639335","https://openalex.org/W27526006","https://openalex.org/W2158662146","https://openalex.org/W2055845079","https://openalex.org/W2005420820","https://openalex.org/W4308242512","https://openalex.org/W4368227461","https://openalex.org/W1610652471"],"abstract_inverted_index":{"This":[0,65],"paper":[1],"deals":[2],"with":[3,121],"three":[4],"different":[5,38],"methods":[6,104],"for":[7,10,23,26,105,140],"grasp":[8,68,85,96,106,118],"recognition":[9,15,107,141],"a":[11,17,41,45,83],"human":[12,31,48,88],"hand.":[13],"Grasp":[14],"is":[16,119,147],"major":[18],"part":[19],"of":[20,47],"the":[21,34,50,71,77,87,90,95,99,113,116,125,128,132],"approach":[22],"programming-by-demonstration":[24],"(PbD)":[25],"five-fingered":[27],"robotic":[28],"hands.":[29],"A":[30],"operator":[32,89],"instructs":[33],"robot":[35,91,101,157],"to":[36,67],"perform":[37],"grasps":[39,123],"wearing":[40],"data":[42],"glove.":[43],"For":[44],"number":[46],"grasps,":[49],"finger":[51],"joint":[52,78],"angle":[53],"trajectories":[54],"are":[55,108,138,153],"recorded":[56],"and":[57,62,76,93,97,110,142],"modeled":[58],"by":[59,86],"fuzzy":[60,136],"clustering":[61],"Takagi-Sugeno":[63],"modeling.":[64],"leads":[66],"models":[69,137],"using":[70,124],"time":[72],"as":[73,80],"input":[74],"parameter":[75],"angles":[79],"outputs.":[81,130],"Given":[82],"test":[84,117],"classifies":[92],"recognizes":[94],"generates":[98],"corresponding":[100],"grasp.":[102],"Three":[103],"presented":[109],"compared.":[111],"In":[112,131],"first":[114],"method":[115,146],"compared":[120],"model":[122,129],"difference":[126],"between":[127],"second":[133],"one,":[134],"qualitative":[135],"used":[139,155],"classification.":[143],"The":[144],"third":[145],"based":[148],"on":[149],"hidden-Markov-models":[150],"(HMM)":[151],"which":[152],"commonly":[154],"in":[156],"learning.":[158]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}