{"id":"https://openalex.org/W2016775038","doi":"https://doi.org/10.1109/scis-isis.2014.7044854","title":"Human action recognition based on the angle data of limbs","display_name":"Human action recognition based on the angle data of limbs","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2016775038","doi":"https://doi.org/10.1109/scis-isis.2014.7044854","mag":"2016775038"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2014.7044854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072329127","display_name":"Maierdan Maimaitimin","orcid":"https://orcid.org/0000-0003-4595-7626"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Maimaitimin Maierdan","raw_affiliation_strings":["Department of Intelligent Mechanical Systems, Okayama University, Kita-ku, Okayama, Japan","Department of Intelligent Mechanical Systems, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Mechanical Systems, Okayama University, Kita-ku, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]},{"raw_affiliation_string":"Department of Intelligent Mechanical Systems, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111518950","display_name":"Keigo Watanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keigo Watanabe","raw_affiliation_strings":["Department of Intelligent Mechanical Systems, Okayama University, Kita-ku, Okayama, Japan","Department of Intelligent Mechanical Systems, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Mechanical Systems, Okayama University, Kita-ku, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]},{"raw_affiliation_string":"Department of Intelligent Mechanical Systems, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111457034","display_name":"Shoichi Maeyama","orcid":null},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoichi Maeyama","raw_affiliation_strings":["Department of Intelligent Mechanical Systems, Okayama University, Kita-ku, Okayama, Japan","Department of Intelligent Mechanical Systems, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Mechanical Systems, Okayama University, Kita-ku, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]},{"raw_affiliation_string":"Department of Intelligent Mechanical Systems, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan","institution_ids":["https://openalex.org/I163770644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163770644"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"140","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9980999827384949,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7913784980773926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6989015340805054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6671057343482971},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6280619502067566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6052817106246948},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5872049331665039},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5862221717834473},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.51612389087677},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5071280002593994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3974568843841553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23230743408203125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7913784980773926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6989015340805054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6671057343482971},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6280619502067566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6052817106246948},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5872049331665039},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5862221717834473},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.51612389087677},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5071280002593994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3974568843841553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23230743408203125},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/scis-isis.2014.7044854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2014.7044854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W72718568","https://openalex.org/W121459416","https://openalex.org/W203345490","https://openalex.org/W1983451087","https://openalex.org/W2001461735","https://openalex.org/W2003222790","https://openalex.org/W2070812453","https://openalex.org/W2120936820","https://openalex.org/W2153066808","https://openalex.org/W2153332191","https://openalex.org/W4246219399","https://openalex.org/W6602992432","https://openalex.org/W6608276133"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2391251536","https://openalex.org/W2114275278","https://openalex.org/W2769899322","https://openalex.org/W1489511283","https://openalex.org/W2026565050","https://openalex.org/W2974914859","https://openalex.org/W2110244802","https://openalex.org/W949345935","https://openalex.org/W2507540959"],"abstract_inverted_index":{"An":[0],"approach":[1],"to":[2,40,60],"human":[3,17,27,42],"action":[4,28],"recognition":[5,29],"is":[6,13,22,76,102],"presented":[7],"in":[8,65],"this":[9,34,66,73],"paper.":[10],"This":[11],"paper":[12],"part":[14,81],"of":[15,82,97],"an":[16,56],"behavior":[18],"estimation":[19],"system":[20],"which":[21,64,92],"divided":[23],"into":[24],"two":[25,89],"parts:":[26],"and":[30,70],"object":[31],"recognition.":[32],"In":[33,72],"part,":[35],"we":[36,53],"use":[37],"Microsoft":[38],"Kinect":[39],"capture":[41],"joint":[43],"data.":[44,99],"And":[45],"calculate":[46],"the":[47,83,95],"limb":[48],"angles.":[49],"Using":[50],"these":[51,62],"angles":[52],"can":[54,93],"train":[55],"Artificial":[57],"Neural":[58],"Network(ANN)":[59],"recognize":[61],"actions,":[63],"case":[67],"are":[68],"\"walking\"":[69],"\"running\".":[71],"paper,":[74],"ANN":[75],"discussed":[77],"as":[78],"a":[79,88],"main":[80],"current":[84],"research.":[85],"We":[86],"designed":[87],"stage":[90],"ANN,":[91],"minimize":[94],"impact":[96],"noise":[98],"Whole":[100],"processing":[101],"simulated":[103],"by":[104],"Scilab.":[105]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
