{"id":"https://openalex.org/W2058494765","doi":"https://doi.org/10.1109/embc.2012.6346499","title":"Highly accurate classification of postures and activities by a shoe-based monitor through classification with rejection","display_name":"Highly accurate classification of postures and activities by a shoe-based monitor through classification with rejection","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2058494765","doi":"https://doi.org/10.1109/embc.2012.6346499","mag":"2058494765","pmid":"https://pubmed.ncbi.nlm.nih.gov/23366460"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2012.6346499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6346499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101705306","display_name":"Wenlong Tang","orcid":"https://orcid.org/0009-0007-5552-4994"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenlong Tang","raw_affiliation_strings":["University of Alabama, Tuscaloosa, AL 35487, USA. wtang11@bama.ua.edu","University of Alabama, Tuscaloosa, 35487, USA"],"affiliations":[{"raw_affiliation_string":"University of Alabama, Tuscaloosa, AL 35487, USA. wtang11@bama.ua.edu","institution_ids":["https://openalex.org/I17301866"]},{"raw_affiliation_string":"University of Alabama, Tuscaloosa, 35487, USA","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054782515","display_name":"Edward Sazonov","orcid":"https://orcid.org/0000-0001-7792-4234"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. S. Sazonov","raw_affiliation_strings":["University of Alabama, Tuscaloosa, AL, USA","University of Alabama, Tuscaloosa, 35487, USA"],"affiliations":[{"raw_affiliation_string":"University of Alabama, Tuscaloosa, AL, USA","institution_ids":["https://openalex.org/I17301866"]},{"raw_affiliation_string":"University of Alabama, Tuscaloosa, 35487, USA","institution_ids":["https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101705306"],"corresponding_institution_ids":["https://openalex.org/I17301866"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57816332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"2611","last_page":"2614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9954000115394592,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9954000115394592,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.987500011920929,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9635999798774719,"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/support-vector-machine","display_name":"Support vector machine","score":0.7462517023086548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6714884042739868},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.6511614322662354},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6277967691421509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6196081638336182},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5235997438430786},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4964199662208557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4963439106941223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4392751455307007},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42072486877441406},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.4168005883693695},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.410944402217865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12377575039863586}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7462517023086548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6714884042739868},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.6511614322662354},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6277967691421509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6196081638336182},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5235997438430786},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4964199662208557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4963439106941223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4392751455307007},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42072486877441406},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.4168005883693695},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.410944402217865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12377575039863586},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012775","descriptor_name":"Shoes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012775","descriptor_name":"Shoes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012775","descriptor_name":"Shoes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2012.6346499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6346499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:23366460","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23366460","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1510526001","https://openalex.org/W1881042097","https://openalex.org/W1972306456","https://openalex.org/W1974693233","https://openalex.org/W2020352503","https://openalex.org/W2038094306","https://openalex.org/W2059157330","https://openalex.org/W2103568877","https://openalex.org/W2112109770","https://openalex.org/W2118286367","https://openalex.org/W2126122658","https://openalex.org/W2128912304","https://openalex.org/W2137281439","https://openalex.org/W2137767184","https://openalex.org/W2145675843","https://openalex.org/W2145757798","https://openalex.org/W2153635508","https://openalex.org/W2153657339","https://openalex.org/W2156909104","https://openalex.org/W2172000360","https://openalex.org/W2915941685","https://openalex.org/W3101940764","https://openalex.org/W6630424276","https://openalex.org/W6639450812"],"related_works":["https://openalex.org/W4292814203","https://openalex.org/W2171206798","https://openalex.org/W2116045975","https://openalex.org/W4390778193","https://openalex.org/W2565151897","https://openalex.org/W2000537656","https://openalex.org/W4281776617","https://openalex.org/W4365421262","https://openalex.org/W2307900683","https://openalex.org/W1569053917"],"abstract_inverted_index":{"Monitoring":[0],"human":[1],"beings'":[2],"major":[3],"daily":[4],"activities":[5,24,45],"is":[6,65,134],"important":[7],"for":[8,37],"many":[9],"biomedical":[10],"studies.":[11],"Some":[12],"monitoring":[13],"applications":[14],"may":[15],"require":[16],"highly":[17,39],"reliable":[18],"identification":[19],"of":[20,42,77,103,132],"certain":[21],"postures":[22,43],"and":[23,44],"with":[25,57],"desired":[26,135],"accuracies":[27],"well":[28],"above":[29],"99%":[30,100],"mark.":[31],"This":[32],"paper":[33],"suggests":[34],"a":[35,50,92,144],"method":[36],"performing":[38],"accurate":[40],"classification":[41,56,105],"from":[46],"data":[47],"collected":[48],"by":[49],"wearable":[51],"shoe":[52],"monitor":[53],"(SmartShoe)":[54],"through":[55],"rejection.":[58],"The":[59,88],"classifier":[60],"used":[61],"in":[62,127],"this":[63],"study":[64],"support":[66],"vector":[67],"machines":[68],"that":[69,91],"uses":[70],"posterior":[71],"probability":[72],"based":[73],"on":[74],"the":[75,81,104,111,116],"distance":[76],"an":[78,121],"observation":[79],"to":[80,84,99,115,141],"separating":[82],"hyperplane":[83],"reject":[85],"unreliable":[86],"observations.":[87],"results":[89],"show":[90],"significant":[93],"improvement":[94],"(from":[95],"95.2%":[96],"\u00b1":[97,101],"3.5%":[98],"1%)":[102],"accuracy":[106,117,131],"has":[107],"been":[108],"reached":[109],"after":[110],"rejection,":[112],"as":[113],"compared":[114],"reported":[118],"previously.":[119],"Such":[120],"approach":[122],"will":[123],"be":[124,142],"especially":[125],"beneficial":[126],"application":[128],"where":[129],"high":[130],"recognition":[133],"while":[136],"not":[137],"all":[138],"observations":[139],"need":[140],"assigned":[143],"class":[145],"label.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
