{"id":"https://openalex.org/W3215341388","doi":"https://doi.org/10.1109/tmc.2021.3120475","title":"Fine-Grained and Real-Time Gesture Recognition by Using IMU Sensors","display_name":"Fine-Grained and Real-Time Gesture Recognition by Using IMU Sensors","publication_year":2021,"publication_date":"2021-11-30","ids":{"openalex":"https://openalex.org/W3215341388","doi":"https://doi.org/10.1109/tmc.2021.3120475","mag":"3215341388"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2021.3120475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2021.3120475","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5056862578","display_name":"Dian Zhang","orcid":"https://orcid.org/0000-0002-0979-2185"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dian Zhang","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0979-2185","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009344191","display_name":"Zexiong Liao","orcid":"https://orcid.org/0000-0001-5974-3528"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexiong Liao","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5974-3528","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103121845","display_name":"Wen Fang Xie","orcid":"https://orcid.org/0000-0002-0265-9058"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Xie","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0265-9058","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaofeng Wu","orcid":"https://orcid.org/0000-0002-3247-3772"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Wu","raw_affiliation_strings":["Shenzhen Research Institute of Big Data, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3247-3772","affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013151488","display_name":"Haoran Xie","orcid":"https://orcid.org/0000-0003-0965-3617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoran Xie","raw_affiliation_strings":["Lingnan University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lingnan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002146800","display_name":"Jiang Xiao","orcid":"https://orcid.org/0000-0002-4216-0497"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Xiao","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-4216-0497","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019654551","display_name":"Landu Jiang","orcid":"https://orcid.org/0000-0002-3705-3670"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Landu Jiang","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3705-3670","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5056862578"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":2.1053,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.87159569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"22","issue":"4","first_page":"2177","last_page":"2189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9970999956130981,"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/gesture","display_name":"Gesture","score":0.9498639106750488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7984089851379395},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7753348350524902},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7597589492797852},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6998348832130432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5505061149597168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5324588418006897},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3333008289337158},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32837021350860596}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9498639106750488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7984089851379395},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7753348350524902},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7597589492797852},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6998348832130432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5505061149597168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5324588418006897},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3333008289337158},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32837021350860596},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2021.3120475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2021.3120475","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7707272914","display_name":null,"funder_award_id":"61872247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1517393264","https://openalex.org/W1588407636","https://openalex.org/W1628685102","https://openalex.org/W1965124763","https://openalex.org/W1969595749","https://openalex.org/W1989126352","https://openalex.org/W1993666393","https://openalex.org/W1999277376","https://openalex.org/W2018388187","https://openalex.org/W2020749899","https://openalex.org/W2022123331","https://openalex.org/W2034500483","https://openalex.org/W2040378481","https://openalex.org/W2066991356","https://openalex.org/W2071954570","https://openalex.org/W2077343879","https://openalex.org/W2084248107","https://openalex.org/W2094645604","https://openalex.org/W2102205543","https://openalex.org/W2129873449","https://openalex.org/W2130383339","https://openalex.org/W2133806780","https://openalex.org/W2145311768","https://openalex.org/W2156762151","https://openalex.org/W2209600691","https://openalex.org/W2215504211","https://openalex.org/W2313154375","https://openalex.org/W2460295902","https://openalex.org/W2466222407","https://openalex.org/W2468530846","https://openalex.org/W2479543921","https://openalex.org/W2516046201","https://openalex.org/W2517113976","https://openalex.org/W2517608320","https://openalex.org/W2538479157","https://openalex.org/W2538825097","https://openalex.org/W2592646191","https://openalex.org/W2594230123","https://openalex.org/W2736737128","https://openalex.org/W2794495458","https://openalex.org/W2895165153","https://openalex.org/W2895236785","https://openalex.org/W2897389391","https://openalex.org/W2906167467","https://openalex.org/W2944588740","https://openalex.org/W2950821050","https://openalex.org/W2954510355","https://openalex.org/W2964007934","https://openalex.org/W2974216175","https://openalex.org/W2983683246","https://openalex.org/W3011014576","https://openalex.org/W3016916384","https://openalex.org/W3026192548","https://openalex.org/W3146968685","https://openalex.org/W3150747575","https://openalex.org/W3160747790","https://openalex.org/W4213187341","https://openalex.org/W4251752477","https://openalex.org/W4255252029","https://openalex.org/W6676045232"],"related_works":["https://openalex.org/W1973973903","https://openalex.org/W2992410632","https://openalex.org/W2025756212","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"],"abstract_inverted_index":{"Gesture":[0],"recognition":[1,159],"by":[2],"using":[3],"Inertial":[4],"Measurement":[5],"Unit":[6],"(IMU)":[7],"sensors":[8],"plays":[9],"an":[10,98],"important":[11],"role":[12],"in":[13,73,110],"various":[14],"Internet":[15],"of":[16,161,169],"Things":[17],"(IOT)":[18],"applications,":[19],"e.g.,":[20],"smart":[21],"home,":[22],"intelligent":[23],"medical":[24],"system":[25],"and":[26,112,122,141],"so":[27],"on.":[28],"Traditional":[29],"technologies":[30,54],"usually":[31],"utilize":[32],"machine":[33],"learning":[34],"algorithms":[35,88,126],"to":[36,82,92,104,148],"train":[37],"different":[38,68],"gestures":[39,58],"during":[40,48],"the":[41,46,49,64,80,84,87,106,119,133,139,150,157,170,177],"offline":[42],"phase,":[43],"then":[44],"recognize":[45,56,114,149],"gesture":[47,69],"online":[50],"phase.":[51],"However,":[52],"such":[53],"cannot":[55],"these":[57,94],"without":[59],"prior":[60],"training.":[61],"Even":[62],"for":[63,127],"same":[65,85],"gesture,":[66,86],"with":[67],"amplitude":[70],"may":[71],"result":[72],"unsuccessful":[74],"recognition.":[75],"Also":[76],"if":[77],"we":[78,96],"change":[79],"person":[81],"perform":[83],"fails.":[89],"In":[90],"order":[91],"overcome":[93],"drawbacks,":[95],"propose":[97],"approach,":[99],"which":[100],"will":[101],"be":[102,174],"able":[103],"track":[105],"human":[107,134,171],"body":[108,144,172],"motion":[109],"real-time":[111],"also":[113],"complicated":[115],"gestures.":[116],"It":[117],"utilizes":[118],"accelerometer":[120],"information":[121],"proposes":[123],"comprehensive":[124],"localization":[125],"each":[128],"deployed":[129],"sensor":[130],"attached":[131],"on":[132],"body.":[135],"Then,":[136],"it":[137],"takes":[138],"correlation":[140],"limitation":[142],"among":[143],"parts":[145],"into":[146],"account":[147],"gesture.":[151],"Our":[152],"experiments":[153],"results":[154],"show":[155],"that,":[156],"successful":[158],"rate":[160],"our":[162],"algorithm":[163],"is":[164],"100%.":[165],"Furthermore,":[166],"any":[167],"part":[168],"can":[173,180],"well":[175],"tracked,":[176],"tracking":[178],"accuracy":[179],"reach":[181],"<inline-formula><tex-math":[182],"notation=\"LaTeX\">$0.06m$</tex-math></inline-formula>":[183],".":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
