{"id":"https://openalex.org/W2041642111","doi":"https://doi.org/10.1109/tsmcb.2012.2226879","title":"Inverse Dynamics for Action Recognition","display_name":"Inverse Dynamics for Action Recognition","publication_year":2012,"publication_date":"2012-12-10","ids":{"openalex":"https://openalex.org/W2041642111","doi":"https://doi.org/10.1109/tsmcb.2012.2226879","mag":"2041642111","pmid":"https://pubmed.ncbi.nlm.nih.gov/26502432"},"language":"en","primary_location":{"id":"doi:10.1109/tsmcb.2012.2226879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2012.2226879","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5109054464","display_name":"Al Mansur","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Al Mansur","raw_affiliation_strings":["Department of Intelligent Media, Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Japan","Dept. of Intell. Media, Osaka Univ., Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Media, Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Dept. of Intell. Media, Osaka Univ., Ibaraki, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010680369","display_name":"Yasushi Makihara","orcid":"https://orcid.org/0000-0002-7071-4872"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Makihara","raw_affiliation_strings":["Department of Intelligent Media, Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Japan","Dept. of Intell. Media, Osaka Univ., Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Media, Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Dept. of Intell. Media, Osaka Univ., Ibaraki, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040773064","display_name":"Yasushi Yagi","orcid":"https://orcid.org/0000-0002-3546-8071"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Yagi","raw_affiliation_strings":["Department of Intelligent Media, Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Japan","Dept. of Intell. Media, Osaka Univ., Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Media, Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Dept. of Intell. Media, Osaka Univ., Ibaraki, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":2.7236,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.91342466,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"43","issue":"4","first_page":"1226","last_page":"1236"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965999722480774,"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/discriminative-model","display_name":"Discriminative model","score":0.7408177852630615},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.7330960035324097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6692533493041992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6404188871383667},{"id":"https://openalex.org/keywords/inverse-dynamics","display_name":"Inverse dynamics","score":0.6379398703575134},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6176984310150146},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5449889302253723},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5405773520469666},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5102980136871338},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5079110264778137},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4820578992366791},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4798519015312195},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4698340594768524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4615068733692169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3679036796092987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3462884724140167},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.10177344083786011},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09346705675125122}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7408177852630615},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7330960035324097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6692533493041992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6404188871383667},{"id":"https://openalex.org/C187523126","wikidata":"https://www.wikidata.org/wiki/Q17098330","display_name":"Inverse dynamics","level":3,"score":0.6379398703575134},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6176984310150146},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5449889302253723},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5405773520469666},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5102980136871338},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5079110264778137},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4820578992366791},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4798519015312195},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4698340594768524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4615068733692169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3679036796092987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3462884724140167},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.10177344083786011},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09346705675125122},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tsmcb.2012.2226879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2012.2226879","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:26502432","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26502432","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.680.9591","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.9591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.am.sanken.osaka-u.ac.jp/%7Emansur/files/SMC-B_2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W98188630","https://openalex.org/W1593040460","https://openalex.org/W1639784222","https://openalex.org/W1847526739","https://openalex.org/W1910567995","https://openalex.org/W1981202246","https://openalex.org/W1993229407","https://openalex.org/W1997861712","https://openalex.org/W1999192586","https://openalex.org/W2010399676","https://openalex.org/W2024868105","https://openalex.org/W2051066766","https://openalex.org/W2068576236","https://openalex.org/W2097905551","https://openalex.org/W2100157495","https://openalex.org/W2100642335","https://openalex.org/W2106271850","https://openalex.org/W2106996050","https://openalex.org/W2116343116","https://openalex.org/W2116931983","https://openalex.org/W2117973875","https://openalex.org/W2119799051","https://openalex.org/W2122800222","https://openalex.org/W2123236823","https://openalex.org/W2126022292","https://openalex.org/W2129620337","https://openalex.org/W2129666410","https://openalex.org/W2130691837","https://openalex.org/W2133993360","https://openalex.org/W2134484928","https://openalex.org/W2136917337","https://openalex.org/W2138232383","https://openalex.org/W2140068807","https://openalex.org/W2144380653","https://openalex.org/W2149126415","https://openalex.org/W2153267900","https://openalex.org/W2154346517","https://openalex.org/W2155268664","https://openalex.org/W2156135524","https://openalex.org/W2156342794","https://openalex.org/W2161320741","https://openalex.org/W2163973188","https://openalex.org/W2165715280","https://openalex.org/W2166294429","https://openalex.org/W2167072892","https://openalex.org/W2169039276","https://openalex.org/W2172156083","https://openalex.org/W2172207578","https://openalex.org/W2533739470","https://openalex.org/W2535579907","https://openalex.org/W6604091132","https://openalex.org/W6635689683","https://openalex.org/W6674610679","https://openalex.org/W6677178697"],"related_works":["https://openalex.org/W2124974842","https://openalex.org/W1971623867","https://openalex.org/W2274748205","https://openalex.org/W2380016249","https://openalex.org/W1982770690","https://openalex.org/W2655336725","https://openalex.org/W2405660103","https://openalex.org/W2096175171","https://openalex.org/W2030131924","https://openalex.org/W2041642111"],"abstract_inverted_index":{"Pose-based":[0],"approaches":[1,19],"for":[2,23,57,135],"human":[3,14,48,74,136],"action":[4,58,198],"recognition":[5,59],"are":[6,124],"attractive":[7],"owing":[8],"to":[9,28,68],"their":[10],"accurate":[11],"use":[12],"of":[13,44,72,87,105,117,141,144,177],"motion":[15,190],"information.":[16],"Traditionally,":[17],"such":[18,169],"used":[20],"kinematic":[21,37,128],"features":[22,38,93,123],"classification.":[24],"However,":[25],"in":[26,131,164],"addition":[27],"having":[29],"high":[30],"dimensions":[31],"and":[32,81,85,102,114,194],"a":[33,55,69,132,158,165,171],"small":[34,160],"interclass":[35],"variation,":[36],"do":[39],"not":[40],"consider":[41],"the":[42,45,73,97,100,115,118,142,145,178,186],"interaction":[43],"environment":[46],"on":[47,185],"motion.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"method":[56,180],"using":[60],"dynamic":[61],"features,":[62,129],"derived":[63],"by":[64],"applying":[65],"inverse":[66],"dynamics":[67],"physics-based":[70,77],"representation":[71,134],"body.":[75],"The":[76,175],"model":[78],"is":[79,181],"articulated":[80],"actuated":[82],"with":[83,89,157,201],"muscles":[84],"consists":[86],"joints":[88,104],"variable":[90],"stiffness.":[91],"Dynamic":[92],"under":[94],"consideration":[95],"include":[96],"torques":[98],"from":[99],"knee":[101],"hip":[103],"both":[106],"legs":[107],"and,":[108],"implicitly,":[109],"gravity,":[110],"ground":[111],"reaction":[112],"forces,":[113],"pose":[116],"remaining":[119],"body":[120],"parts.":[121],"These":[122],"more":[125],"discriminative":[126],"than":[127],"resulting":[130],"low-dimensional":[133,150],"actions,":[137],"which":[138],"preserves":[139],"much":[140],"information":[143],"original":[146],"high-dimensional":[147],"pose.":[148],"This":[149],"feature":[151],"achieves":[152],"good":[153],"classification":[154,167],"performance":[155],"even":[156],"relatively":[159],"training":[161],"data":[162,192,199],"set":[163,193,200],"simple":[166],"framework":[168],"as":[170],"hidden":[172],"Markov":[173],"model.":[174],"effectiveness":[176],"proposed":[179],"demonstrated":[182],"through":[183],"experiments":[184],"Carnegie":[187],"Mellon":[188],"University":[189,196],"capture":[191],"Osaka":[195],"Kinect":[197],"various":[202],"actions.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
