{"id":"https://openalex.org/W3160962444","doi":"https://doi.org/10.1186/s13634-021-00760-4","title":"Simulation of gymnastics performance based on MEMS sensor","display_name":"Simulation of gymnastics performance based on MEMS sensor","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3160962444","doi":"https://doi.org/10.1186/s13634-021-00760-4","mag":"3160962444"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-021-00760-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00760-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00760-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00760-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028466883","display_name":"Bingxin Chen","orcid":"https://orcid.org/0000-0003-2558-763X"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingxin Chen","raw_affiliation_strings":["College of Physical Education Hunan Normal University, Changsha, 410000, Hunan, China","College of Physical Education Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physical Education Hunan Normal University, Changsha, 410000, Hunan, China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"College of Physical Education Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016694736","display_name":"Lifei Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifei Kuang","raw_affiliation_strings":["College of Physical Education Hunan Normal University, Changsha, 410000, Hunan, China","College of Physical Education Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physical Education Hunan Normal University, Changsha, 410000, Hunan, China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"College of Physical Education Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007172285","display_name":"Wei He","orcid":"https://orcid.org/0000-0001-6372-5680"},"institutions":[{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei He","raw_affiliation_strings":["Department of Physical Education Changsha Normal University, Changsha, 410000, Hunan, China","Department of Physical Education Changsha Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Education Changsha Normal University, Changsha, 410000, Hunan, China","institution_ids":["https://openalex.org/I3130607311"]},{"raw_affiliation_string":"Department of Physical Education Changsha Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1140,"currency":"GBP","value_usd":1665},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1665},"fwci":0.1451,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.37300015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9758999943733215,"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":0.9758999943733215,"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":0.9666000008583069,"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/T13647","display_name":"AI and Big Data Applications","score":0.9641000032424927,"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-science","display_name":"Computer science","score":0.7889553308486938},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5096313953399658},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.46002498269081116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4564812183380127},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.43182167410850525},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4205705523490906},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4061988890171051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3838239908218384},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32372158765792847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889553308486938},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5096313953399658},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.46002498269081116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4564812183380127},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.43182167410850525},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4205705523490906},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4061988890171051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3838239908218384},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32372158765792847}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-021-00760-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00760-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00760-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec315dad7236454db9ca503d7448ec5b","is_oa":true,"landing_page_url":"https://doaj.org/article/ec315dad7236454db9ca503d7448ec5b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-16 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-021-00760-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-021-00760-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-021-00760-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3160962444.pdf","grobid_xml":"https://content.openalex.org/works/W3160962444.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2098662984","https://openalex.org/W2562404898","https://openalex.org/W2585013244","https://openalex.org/W2592973720","https://openalex.org/W2734784761","https://openalex.org/W2761585777","https://openalex.org/W2772436123","https://openalex.org/W2775510260","https://openalex.org/W2782554218","https://openalex.org/W2794222397","https://openalex.org/W2797033240","https://openalex.org/W2803669268","https://openalex.org/W2806316171","https://openalex.org/W2883041062","https://openalex.org/W2891445622","https://openalex.org/W2895444306","https://openalex.org/W2941413561","https://openalex.org/W2963356286","https://openalex.org/W2966783885","https://openalex.org/W2969684767","https://openalex.org/W2981784945","https://openalex.org/W2986511294","https://openalex.org/W2996792989","https://openalex.org/W3005923105","https://openalex.org/W3014031346","https://openalex.org/W3021820492","https://openalex.org/W3047297564","https://openalex.org/W3088648119"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Abstract":[0],"The":[1,30,72,91,302,348],"development":[2],"and":[3,10,110,118,149,227,242,288,294,338],"progress":[4],"of":[5,20,39,81,102,113,128,141,146,152,176,186,190,212,229,310,313,324,333,342],"multi-sensor":[6],"data":[7,76,104,185,223,255,271,303],"fusion":[8],"theory":[9],"methods":[11],"have":[12],"also":[13],"laid":[14],"the":[15,18,37,47,78,82,94,98,107,120,125,129,134,139,144,147,150,153,170,174,177,183,191,195,201,207,210,213,220,225,230,237,249,254,258,270,275,289,306,314,320,329,339,352,358],"foundation":[16],"for":[17,69,300],"research":[19,32],"human":[21],"body":[22],"posture":[23],"tracking":[24,316],"system":[25,171,202,317],"based":[26,42],"on":[27,43],"inertial":[28],"sensing.":[29],"main":[31],"in":[33],"this":[34,53],"paper":[35,54],"is":[36,160,167,198,245,262,265,272,279,292,298,318,327,336,346],"simulation":[38],"gymnastics":[40,70],"performance":[41],"MEMS":[44,192,353],"sensors.":[45],"In":[46,233],"preprocessing":[48],"to":[49,59,123,162,169,172,181,205,235,247,267],"reduce":[50],"noise":[51],"interference,":[52],"mainly":[55],"uses":[56,65,119],"median":[57],"filtering":[58],"remove":[60],"signal":[61,166,189,204,222],"glitches.":[62],"This":[63],"article":[64],"virtual":[66,130],"character":[67,121,131],"models":[68],"performances.":[71],"computer":[73],"receives":[74],"sensor":[75,103,115,142,354],"from":[77,97],"sink":[79],"node":[80],"motion":[83],"capture":[84,219],"device":[85],"through":[86],"a":[87,157,164,203,282,295],"Bluetooth":[88],"communication":[89,239],"module.":[90],"unit":[92],"calculates":[93,106],"quaternion":[95],"output":[96],"dynamic":[99],"link":[100],"library":[101],"processing,":[105],"rotation":[108],"amount":[109],"coordinate":[111],"offset":[112],"each":[114,187],"node\u2019s":[116],"limb,":[117],"model":[122],"realize":[124],"real-time":[126],"rendering":[127],"model.":[132],"At":[133],"same":[135],"time,":[136],"it":[137,244,264],"controls":[138],"storage":[140],"data,":[143,287],"drive":[145],"model,":[148],"display":[151],"graphical":[154],"interface.":[155],"When":[156,194],"gesture":[158,196,231],"action":[159,197,359],"about":[161],"occur,":[163],"trigger":[165],"given":[168],"mark":[173],"beginning":[175,226],"action,":[178,214],"so":[179,215,274],"as":[180],"obtain":[182],"initial":[184],"axis":[188],"sensor.":[193],"completed,":[199],"give":[200],"end":[206,211,228],"action.":[208,232],"Mark":[209],"that":[216,284,305,351],"you":[217],"can":[218,355],"original":[221],"during":[224],"order":[234],"ensure":[236],"normal":[238],"between":[240],"PS":[241],"PL,":[243],"necessary":[246],"test":[248,296],"key":[250],"interfaces":[251],"involved.":[252],"Because":[253],"received":[256],"by":[257],"SPI":[259,276],"acquisition":[260,277],"module":[261,278,283],"irregular,":[263],"impossible":[266],"verify":[268],"whether":[269],"wrong,":[273],"replaced":[280],"with":[281,360],"automatically":[285],"increments":[286],"IP":[290],"core":[291],"generated,":[293],"platform":[297],"built":[299],"testing.":[301],"shows":[304],"average":[307,321,330,340],"measurement":[308,322,331,345],"error":[309,323,332,341],"X-axis":[311],"displacement":[312,326,335],"space":[315,344],"8.17%,":[319],"Y-axis":[325],"7.51%,":[328],"Z-axis":[334],"9.72%,":[337],"three-dimensional":[343],"8.7%.":[347],"results":[349],"show":[350],"accurately":[356],"recognize":[357],"high":[361],"accuracy.":[362]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
