{"id":"https://openalex.org/W2049045959","doi":"https://doi.org/10.1109/dbta.2010.5659002","title":"A Gait Recognition Method Based on Human Posture Pick Extraction","display_name":"A Gait Recognition Method Based on Human Posture Pick Extraction","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2049045959","doi":"https://doi.org/10.1109/dbta.2010.5659002","mag":"2049045959"},"language":"en","primary_location":{"id":"doi:10.1109/dbta.2010.5659002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","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/A5100437036","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0002-6170-4744"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kai Wang","raw_affiliation_strings":["Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109925456","display_name":"Limin Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li-Min Zheng","raw_affiliation_strings":["Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692867","display_name":"Ping Wu","orcid":"https://orcid.org/0000-0002-0788-6268"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Wu","raw_affiliation_strings":["Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103092868","display_name":"Hong Zhu","orcid":"https://orcid.org/0000-0003-2993-1928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Zhu","raw_affiliation_strings":["Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100437036"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2111,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58751551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9987000226974487,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7940565347671509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7429764270782471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6432603597640991},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5974725484848022},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.5532066226005554},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5476133823394775},{"id":"https://openalex.org/keywords/gait-cycle","display_name":"Gait cycle","score":0.529869019985199},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5204737186431885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48765718936920166},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.46978962421417236},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.43473196029663086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41969045996665955},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22186872363090515},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.12738880515098572},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07437163591384888}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7940565347671509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7429764270782471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432603597640991},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5974725484848022},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.5532066226005554},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5476133823394775},{"id":"https://openalex.org/C2985215115","wikidata":"https://www.wikidata.org/wiki/Q22305006","display_name":"Gait cycle","level":3,"score":0.529869019985199},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5204737186431885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48765718936920166},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.46978962421417236},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.43473196029663086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41969045996665955},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22186872363090515},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.12738880515098572},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07437163591384888},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dbta.2010.5659002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4399999976158142,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1481827761","https://openalex.org/W1572940804","https://openalex.org/W1972580115","https://openalex.org/W2382365943","https://openalex.org/W2390330287","https://openalex.org/W2392949088"],"related_works":["https://openalex.org/W2390475535","https://openalex.org/W2611160909","https://openalex.org/W3017911271","https://openalex.org/W2913503957","https://openalex.org/W2536500502","https://openalex.org/W2133973503","https://openalex.org/W2600139093","https://openalex.org/W2027166246","https://openalex.org/W4244219172","https://openalex.org/W2390631805"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,9,22,26,43],"method":[4],"to":[5],"extract":[6,25,38],"posture":[7],"from":[8,18,28,69],"series":[10],"sequence":[11,31,51],"of":[12,21,42,49],"contour":[13],"images":[14,48],"which":[15],"were":[16],"taken":[17,68],"the":[19,29,34,39,50,54,61,73],"side":[20],"person.":[23],"We":[24],"cycle":[27],"image":[30,66],"and":[32,52,72,84],"confirm":[33],"body":[35,45],"region,":[36],"then":[37],"articulation":[40],"points":[41],"human":[44],"in":[46],"each":[47],"normalize":[53],"frame":[55],"number":[56],"using":[57],"cubic":[58],"spline.":[59],"In":[60],"experiment,":[62],"we":[63],"used":[64],"360":[65],"sequences":[67],"60":[70],"persons,":[71],"recognition":[74],"accuracy":[75],"rate":[76],"was":[77],"90%":[78],"for":[79,86],"groups":[80,87],"with":[81,88],"10":[82],"people":[83],"80%":[85],"15":[89],"people.":[90]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
