{"id":"https://openalex.org/W4307373596","doi":"https://doi.org/10.3233/jcm-226455","title":"Automatic posture capture of sports movement based on sensor information fusion","display_name":"Automatic posture capture of sports movement based on sensor information fusion","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4307373596","doi":"https://doi.org/10.3233/jcm-226455"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-226455","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226455","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5042621264","display_name":"Yushi Qie","orcid":null},"institutions":[{"id":"https://openalex.org/I4403386483","display_name":"Yanching Institute of Technology","ror":"https://ror.org/01aw5y656","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushi Qie","raw_affiliation_strings":["School of Physical Education, Yanching Institute of Technology, Langfang, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physical Education, Yanching Institute of Technology, Langfang, Hebei, China","institution_ids":["https://openalex.org/I4403386483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101674774","display_name":"Zhicheng Xie","orcid":"https://orcid.org/0000-0003-0605-8898"},"institutions":[{"id":"https://openalex.org/I4403386483","display_name":"Yanching Institute of Technology","ror":"https://ror.org/01aw5y656","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Xie","raw_affiliation_strings":["School of Physical Education, Yanching Institute of Technology, Langfang, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physical Education, Yanching Institute of Technology, Langfang, Hebei, China","institution_ids":["https://openalex.org/I4403386483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023608669","display_name":"Shanchang Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099388","display_name":"Shangqiu Institute of Technology","ror":"https://ror.org/016qtng06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shanchang Ren","raw_affiliation_strings":["Physical Education Department, Shangqiu Institute of Technology, Shangqiu, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physical Education Department, Shangqiu Institute of Technology, Shangqiu, Henan, China","institution_ids":["https://openalex.org/I4210099388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023608669"],"corresponding_institution_ids":["https://openalex.org/I4210099388"],"apc_list":null,"apc_paid":null,"fwci":0.1015,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39716881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"23","issue":"2","first_page":"933","last_page":"948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9922000169754028,"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":0.9922000169754028,"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/T13567","display_name":"AI and Multimedia in Education","score":0.9879999756813049,"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"}},{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-vision","display_name":"Computer vision","score":0.7771992683410645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7563267946243286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379076480865479},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5616726875305176},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48967888951301575},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4832049608230591},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4583316445350647},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.425042986869812},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.41532883048057556},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30533716082572937},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30505627393722534}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7771992683410645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7563267946243286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379076480865479},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5616726875305176},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48967888951301575},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4832049608230591},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4583316445350647},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.425042986869812},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.41532883048057556},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30533716082572937},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30505627393722534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-226455","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226455","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2921598030","https://openalex.org/W2992560301","https://openalex.org/W3024374442","https://openalex.org/W3042811049","https://openalex.org/W3082123740","https://openalex.org/W3102211951","https://openalex.org/W3119562052","https://openalex.org/W3135218528","https://openalex.org/W3161759859","https://openalex.org/W3179403642","https://openalex.org/W3204854817","https://openalex.org/W6782675854","https://openalex.org/W6788260634"],"related_works":["https://openalex.org/W2038952732","https://openalex.org/W2365412889","https://openalex.org/W4386083130","https://openalex.org/W2117442182","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W996507331","https://openalex.org/W2023355163","https://openalex.org/W2081707527","https://openalex.org/W2366091560"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,17,66,77,84,93,97,107,112,120,126,134,141,154,161,167],"problems":[3],"of":[4,11,137,144],"low":[5],"accuracy":[6,132,142],"and":[7,49,57,76,100,111,131,166],"long":[8],"time":[9,157,162],"consumption":[10,163],"motion":[12,37,62,121,138,146],"attitude":[13,23,38,63,139,147],"information":[14,29,39,69],"collection":[15,135],"in":[16],"existing":[18],"methods,":[19],"a":[20,36],"new":[21],"automatic":[22,145],"capture":[24,119,148,156],"method":[25,127],"based":[26],"on":[27],"sensor":[28,67],"fusion":[30],"is":[31,74,80,115,149,158,164,171],"proposed.":[32],"The":[33],"line":[34],"builds":[35],"acquisition":[40,48],"architecture":[41],"through":[42],"five":[43],"functional":[44],"modules,":[45],"including":[46],"data":[47,53],"processing,":[50],"laser":[51],"sensor,":[52],"storage,":[54],"voltage":[55],"conversion":[56],"serial":[58],"communication,":[59],"to":[60,105,117],"obtain":[61],"data.":[64],"Then,":[65],"image":[68,79,86],"collected":[70],"by":[71,82,88],"median":[72],"filtering":[73],"processed,":[75],"target":[78],"obtained":[81,87],"fusing":[83],"binary":[85],"optical":[89],"flow":[90],"segmentation":[91],"with":[92],"original":[94],"image.":[95],"Finally,":[96],"Mean-Shfit":[98],"algorithm":[99],"particle":[101],"filter":[102],"are":[103],"used":[104,116],"track":[106],"human":[108],"moving":[109],"target,":[110],"self-similar":[113],"matrix":[114],"automatically":[118],"posture.":[122],"Experiments":[123],"show":[124],"that":[125],"has":[128],"high":[129,151],"recall":[130],"for":[133],"results":[136],"information,":[140],"rate":[143],"as":[150,152],"95.5%,":[153],"maximum":[155],"79":[159],"ms,":[160],"short,":[165],"practical":[168],"application":[169],"effect":[170],"good.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}