{"id":"https://openalex.org/W2295853471","doi":"https://doi.org/10.1109/embc.2015.7318678","title":"Data correction for seven activity trackers based on regression models","display_name":"Data correction for seven activity trackers based on regression models","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2295853471","doi":"https://doi.org/10.1109/embc.2015.7318678","mag":"2295853471","pmid":"https://pubmed.ncbi.nlm.nih.gov/26736578"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7318678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7318678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","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/A5089232014","display_name":"Vafa Andalibi","orcid":"https://orcid.org/0000-0003-1517-3185"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Vafa Andalibi","raw_affiliation_strings":["Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072879556","display_name":"Harri Honko","orcid":"https://orcid.org/0000-0002-7969-0213"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Harri Honko","raw_affiliation_strings":["Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056160731","display_name":"Fran\u00e7ois Christophe","orcid":"https://orcid.org/0000-0002-4337-3291"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Francois Christophe","raw_affiliation_strings":["Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053122382","display_name":"Jari Viik","orcid":"https://orcid.org/0000-0001-6081-6819"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jari Viik","raw_affiliation_strings":["Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communications, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089232014"],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.3688,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65932242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2015","issue":null,"first_page":"1592","last_page":"1595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9927999973297119,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.6866651773452759},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6673356890678406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6164321899414062},{"id":"https://openalex.org/keywords/activity-tracker","display_name":"Activity tracker","score":0.5158464312553406},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4530014395713806},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43665817379951477},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.39322027564048767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.216817706823349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19115304946899414}],"concepts":[{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.6866651773452759},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6673356890678406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164321899414062},{"id":"https://openalex.org/C6387636","wikidata":"https://www.wikidata.org/wiki/Q16001686","display_name":"Activity tracker","level":3,"score":0.5158464312553406},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4530014395713806},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43665817379951477},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.39322027564048767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.216817706823349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19115304946899414},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000072936","descriptor_name":"Fitness Trackers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072936","descriptor_name":"Fitness Trackers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072936","descriptor_name":"Fitness Trackers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004734","descriptor_name":"Energy Metabolism","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004734","descriptor_name":"Energy Metabolism","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004734","descriptor_name":"Energy Metabolism","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":"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":2,"locations":[{"id":"doi:10.1109/embc.2015.7318678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7318678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26736578","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26736578","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":14,"referenced_works":["https://openalex.org/W2006655881","https://openalex.org/W2042283868","https://openalex.org/W2070759722","https://openalex.org/W2095742593","https://openalex.org/W2108955267","https://openalex.org/W2110108424","https://openalex.org/W2116333790","https://openalex.org/W2125917807","https://openalex.org/W2160163718","https://openalex.org/W2161341360","https://openalex.org/W2189443757","https://openalex.org/W2335584835","https://openalex.org/W4285719527","https://openalex.org/W6677298143"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W31220157","https://openalex.org/W3215700490","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W2312753042","https://openalex.org/W4289356671"],"abstract_inverted_index":{"Using":[0],"an":[1,31],"activity":[2,80,108],"tracker":[3],"for":[4,68,120],"measuring":[5,26],"activity-related":[6],"parameters,":[7],"e.g.":[8,196],"steps":[9,70],"and":[10,71,82,109,123],"energy":[11],"expenditure":[12],"(EE),":[13],"can":[14],"be":[15],"very":[16],"helpful":[17],"in":[18,98,162,171,197,201],"assisting":[19],"a":[20,151,155],"person's":[21],"fitness":[22],"improvement.":[23],"Unlike":[24],"the":[25,66,148,193,198],"of":[27,29,44,54,78,127,136,141,150,173,180,189],"number":[28],"steps,":[30],"accurate":[32,42],"EE":[33,72,158,181],"estimation":[34,182],"requires":[35],"additional":[36],"personal":[37],"information":[38],"as":[39,41],"well":[40],"velocity":[43],"movement,":[45],"which":[46],"is":[47,114,183],"hard":[48],"to":[49,52,64,116,134],"achieve":[50],"due":[51],"inaccuracy":[53],"sensors.":[55],"In":[56],"this":[57,75],"paper,":[58],"we":[59],"have":[60],"evaluated":[61],"regression-based":[62],"models":[63,119,143],"improve":[65],"precision":[67],"both":[69],"estimation.":[73],"For":[74],"purpose,":[76],"data":[77,113,195],"seven":[79],"trackers":[81],"two":[83],"reference":[84],"devices":[85,95],"was":[86,160,168],"collected":[87,194],"from":[88],"20":[89],"young":[90],"adult":[91],"volunteers":[92],"wearing":[93],"all":[94,163],"at":[96],"once":[97],"three":[99],"different":[100],"tests,":[101],"namely":[102],"60-minute":[103,110],"office":[104],"work,":[105],"6-hour":[106],"overall":[107],"walking.":[111],"Reference":[112],"used":[115],"create":[117],"regression":[118,142],"each":[121],"device":[122],"relative":[124],"percentage":[125],"errors":[126],"adjusted":[128],"values":[129],"are":[130,144],"then":[131],"statistically":[132],"compared":[133],"that":[135,178],"original":[137],"values.":[138],"The":[139,165,175],"effectiveness":[140],"determined":[145],"based":[146],"on":[147],"result":[149],"statistical":[152],"test.":[153],"During":[154],"walking":[156],"period,":[157],"measurement":[159,167],"improved":[161,170],"devices.":[164],"step":[166],"also":[169],"five":[172],"them.":[174],"results":[176],"show":[177],"improvement":[179],"possible":[184],"only":[185],"with":[186],"low-cost":[187],"implementation":[188],"fitting":[190],"model":[191],"over":[192],"app":[199],"or":[200],"corresponding":[202],"service":[203],"back-end.":[204]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
