{"id":"https://openalex.org/W3163449599","doi":"https://doi.org/10.3390/s21103496","title":"Gait Recognition Using Optical Motion Capture: A Decision Fusion Based Method","display_name":"Gait Recognition Using Optical Motion Capture: A Decision Fusion Based Method","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3163449599","doi":"https://doi.org/10.3390/s21103496","mag":"3163449599","pmid":"https://pubmed.ncbi.nlm.nih.gov/34067820"},"language":"en","primary_location":{"id":"doi:10.3390/s21103496","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21103496","pdf_url":"https://www.mdpi.com/1424-8220/21/10/3496/pdf?version=1621317320","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/10/3496/pdf?version=1621317320","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100336197","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-2165-0080"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Physical Education, Sichuan Normal University, Chengdu 610101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physical Education, Sichuan Normal University, Chengdu 610101, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349245","display_name":"Yajun Li","orcid":"https://orcid.org/0000-0001-7747-742X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yajun Li","raw_affiliation_strings":["Department of Physical Education, Central South University, Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Education, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694414","display_name":"Fei Xiong","orcid":"https://orcid.org/0000-0002-1610-335X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xiong","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385192","display_name":"Wenyu Zhang","orcid":"https://orcid.org/0000-0001-5488-2158"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100349245"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.3062,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.77302607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"10","first_page":"3496","last_page":"3496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.995199978351593,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7307997345924377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095029354095459},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5932979583740234},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5606919527053833},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5496830940246582},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5287268757820129},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5229126214981079},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5160074234008789},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.46925875544548035},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4367179870605469},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41479143500328064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4144710898399353},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.1497216522693634}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7307997345924377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095029354095459},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5932979583740234},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5606919527053833},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5496830940246582},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5287268757820129},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5229126214981079},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5160074234008789},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.46925875544548035},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4367179870605469},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41479143500328064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4144710898399353},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.1497216522693634},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21103496","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21103496","pdf_url":"https://www.mdpi.com/1424-8220/21/10/3496/pdf?version=1621317320","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34067820","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34067820","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:3b8fc870312f411ea7511ec0da66619a","is_oa":true,"landing_page_url":"https://doaj.org/article/3b8fc870312f411ea7511ec0da66619a","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":"Sensors, Vol 21, Iss 10, p 3496 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/10/3496/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21103496","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 10; Pages: 3496","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8156802","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8156802","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21103496","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21103496","pdf_url":"https://www.mdpi.com/1424-8220/21/10/3496/pdf?version=1621317320","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G4167346680","display_name":null,"funder_award_id":"2019JBM013","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5312602613","display_name":null,"funder_award_id":"Z201100006820015","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"}],"funders":[{"id":"https://openalex.org/F4320323066","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84"},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3163449599.pdf","grobid_xml":"https://content.openalex.org/works/W3163449599.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1831824809","https://openalex.org/W1986119156","https://openalex.org/W2006672150","https://openalex.org/W2060137550","https://openalex.org/W2073259742","https://openalex.org/W2145421913","https://openalex.org/W2171213231","https://openalex.org/W2222577885","https://openalex.org/W2347912815","https://openalex.org/W2405392835","https://openalex.org/W2517331439","https://openalex.org/W2519653196","https://openalex.org/W2534318839","https://openalex.org/W2548928501","https://openalex.org/W2565421035","https://openalex.org/W2743106775","https://openalex.org/W2747644948","https://openalex.org/W2754789423","https://openalex.org/W2766172911","https://openalex.org/W2782311202","https://openalex.org/W2789834341","https://openalex.org/W2790478115","https://openalex.org/W2792551126","https://openalex.org/W2803023819","https://openalex.org/W2811107675","https://openalex.org/W2884068903","https://openalex.org/W2896515397","https://openalex.org/W2900022802","https://openalex.org/W2943727242","https://openalex.org/W2946708555","https://openalex.org/W2947863890","https://openalex.org/W2947930228","https://openalex.org/W2955594526","https://openalex.org/W2964119477","https://openalex.org/W2973839564","https://openalex.org/W3016342624","https://openalex.org/W3045457574","https://openalex.org/W3088179323","https://openalex.org/W3089682350","https://openalex.org/W6762090367"],"related_works":["https://openalex.org/W2086677144","https://openalex.org/W4312791623","https://openalex.org/W2090763504","https://openalex.org/W4389910871","https://openalex.org/W4287328308","https://openalex.org/W2963417676","https://openalex.org/W3130085708","https://openalex.org/W4236844032","https://openalex.org/W3156454664","https://openalex.org/W3205608944"],"abstract_inverted_index":{"Human":[0],"identification":[1],"based":[2,115],"on":[3,39,48,116,245],"motion":[4,22,134,141,152,174,210,240,262],"capture":[5,23,28],"data":[6,188],"has":[7,51],"received":[8],"signification":[9],"attentions":[10],"for":[11,150],"its":[12,44,74],"wide":[13],"applications":[14,47],"in":[15,46,55,96,155,207],"authentication":[16],"and":[17,76,92,119,136,154,193,204,214],"surveillance":[18],"systems.":[19],"The":[20],"optical":[21,34],"system":[24],"(OMCS)":[25],"can":[26,65,101,223,252],"dynamically":[27],"the":[29,59,85,106,122,169,173,178,181,208,217,249],"high-precision":[30],"three-dimensional":[31],"locations":[32],"of":[33,87,132,139,172,180],"trackers":[35,241],"that":[36,99,196,216,242],"are":[37,83,243],"implemented":[38,244],"a":[40,62,111,159],"human":[41],"body,":[42],"but":[43],"potential":[45],"gait":[49,89,94,112,187,261],"recognition":[50,90,95,113],"not":[52],"been":[53],"studied":[54],"existing":[56],"works.":[57],"On":[58],"other":[60],"hand,":[61],"typical":[63],"OMCS":[64,97],"only":[66],"support":[67,102,200],"one":[68,70],"player":[69],"time,":[71],"which":[72],"limits":[73],"capability":[75],"efficiency.":[77],"In":[78],"this":[79],"paper,":[80],"our":[81],"goals":[82],"investigating":[84],"performance":[86,179],"OMCS-based":[88],"performance,":[91],"realizing":[93],"such":[98],"it":[100,120],"multiple":[103,140],"players":[104],"at":[105],"same":[107],"time.":[108],"We":[109,143,176],"develop":[110],"method":[114,166,183,251],"decision":[117,137,164,220],"fusion,":[118],"includes":[121],"following":[123],"four":[124],"steps:":[125],"feature":[126,129],"extraction,":[127],"unreliable":[128],"calibration,":[130],"classification":[131,212],"single":[133,151,209],"frame,":[135],"fusion":[138,165,221,226,231],"frame.":[142],"use":[144],"kernel":[145],"extreme":[146],"learning":[147],"machine":[148,202],"(KELM)":[149],"classification,":[153],"particular":[156],"we":[157],"propose":[158],"reliability":[160],"weighted":[161],"sum":[162],"(RWS)":[163],"to":[167],"combine":[168],"fuzzy":[170],"decisions":[171],"frames.":[175,263],"demonstrate":[177,215],"proposed":[182,218,250],"by":[184],"using":[185],"walking":[186],"collected":[189],"from":[190],"76":[191],"participants,":[192],"results":[194,234],"show":[195,236],"KELM":[197],"significantly":[198],"outperforms":[199],"vector":[201],"(SVM)":[203],"random":[205],"forest":[206],"frame":[211],"task,":[213],"RWS":[219],"rule":[222],"achieve":[224,253],"better":[225],"accuracy":[227,256],"compared":[228],"with":[229,238,257],"conventional":[230],"rules.":[232],"Our":[233],"also":[235],"that,":[237],"10":[239],"lower":[246],"body":[247],"locations,":[248],"100%":[254],"validation":[255],"less":[258],"than":[259],"50":[260]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
