{"id":"https://openalex.org/W151314940","doi":"https://doi.org/10.1609/aaai.v27i2.18997","title":"Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method","display_name":"Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method","publication_year":2013,"publication_date":"2013-07-14","ids":{"openalex":"https://openalex.org/W151314940","doi":"https://doi.org/10.1609/aaai.v27i2.18997","mag":"151314940"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v27i2.18997","doi":"https://doi.org/10.1609/aaai.v27i2.18997","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v27i2.18997","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v27i2.18997","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100814131","display_name":"Yonglei Zheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yonglei Zheng","raw_affiliation_strings":["Oregon State University","[Sch. of EECS, Oregon State Univ., Corvallis, OR]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"[Sch. of EECS, Oregon State Univ., Corvallis, OR]","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weng-Keen Won","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weng-Keen Won","raw_affiliation_strings":["Oregon State University","[Sch. of EECS, Oregon State Univ., Corvallis, OR]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"[Sch. of EECS, Oregon State Univ., Corvallis, OR]","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078314972","display_name":"Xinze Guan","orcid":"https://orcid.org/0009-0000-5021-1277","observed_orcids":["https://orcid.org/0009-0000-5021-1277"]},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinze Guan","raw_affiliation_strings":["Oregon State University","[Sch. of EECS, Oregon State Univ., Corvallis, OR]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oregon State University","institution_ids":["https://openalex.org/I131249849"]},{"raw_affiliation_string":"[Sch. of EECS, Oregon State Univ., Corvallis, OR]","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069328711","display_name":"Stewart Graeme Trost","orcid":"https://orcid.org/0000-0001-9587-3944","observed_orcids":["https://orcid.org/0000-0001-9587-3944"]},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stewart Trost","raw_affiliation_strings":["University of Queensland","School of Human Movement Studies, University of Queensland , Brisbane, Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Queensland","institution_ids":["https://openalex.org/I165143802"]},{"raw_affiliation_string":"School of Human Movement Studies, University of Queensland , Brisbane, Queensland, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5407,"has_fulltext":true,"cited_by_count":84,"citation_normalized_percentile":{"value":0.9750374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"27","issue":"2","first_page":"1575","last_page":"1581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9984999895095825,"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":0.9984999895095825,"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/T10352","display_name":"Physical Activity and Health","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/physical-activity-recognition","display_name":"physical activity recognition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/accelerometer-data","display_name":"accelerometer data","score":0.8980000019073486},{"id":"https://openalex.org/keywords/triaxial-accelerometer","display_name":"triaxial accelerometer","score":0.7680000066757202},{"id":"https://openalex.org/keywords/windowing","display_name":"windowing","score":0.46399998664855957},{"id":"https://openalex.org/keywords/time-series-classification","display_name":"time series classification","score":0.5429999828338623},{"id":"https://openalex.org/keywords/timescales","display_name":"time scales","score":0.8159999847412109},{"id":"https://openalex.org/keywords/wearable-sensors","display_name":"wearable sensors","score":0.5400000214576721},{"id":"https://openalex.org/keywords/activity-classification","display_name":"activity classification","score":0.4189999997615814}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.8500314950942993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691294252872467},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6799188256263733},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6676927804946899},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5619814395904541},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.515182614326477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5106056332588196},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4807872176170349},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4663851261138916},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43112266063690186},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.42598599195480347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3996965289115906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.386135071516037},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v27i2.18997","doi":"https://doi.org/10.1609/aaai.v27i2.18997","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v27i2.18997","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/18997","doi":null,"is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/18997","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/18997/18760","source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.741.5994","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.741.5994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://web.engr.orst.edu/%7Ewong/papers/pdf/iaai13.swem.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.qut.edu.au:71687","doi":null,"is_oa":false,"landing_page_url":"http://www.aaai.org/ocs/index.php/IAAI/IAAI13/paper/view/6373/6438","pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 25th Innovative Applications of Artificial Intelligence Conference (IAAI-13)","raw_type":"Chapter in Book, Report or Conference volume"}],"best_oa_location":{"id":"doi:10.1609/aaai.v27i2.18997","doi":"https://doi.org/10.1609/aaai.v27i2.18997","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v27i2.18997","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337364","display_name":"National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05"},{"id":"https://openalex.org/F4320337611","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W151314940.pdf","grobid_xml":"https://content.openalex.org/works/W151314940.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W98188630","https://openalex.org/W1491797991","https://openalex.org/W1513618424","https://openalex.org/W1527268501","https://openalex.org/W1853995153","https://openalex.org/W1989037929","https://openalex.org/W1997102766","https://openalex.org/W2002566365","https://openalex.org/W2029438113","https://openalex.org/W2029767187","https://openalex.org/W2030401894","https://openalex.org/W2033961603","https://openalex.org/W2045744533","https://openalex.org/W2073069519","https://openalex.org/W2105046342","https://openalex.org/W2109452153","https://openalex.org/W2113746910","https://openalex.org/W2117794119","https://openalex.org/W2138745909","https://openalex.org/W2153635508","https://openalex.org/W2164041372","https://openalex.org/W2167325461"],"related_works":["https://openalex.org/W2105046342","https://openalex.org/W4393254450","https://openalex.org/W2168538666","https://openalex.org/W1850552477","https://openalex.org/W2222280452","https://openalex.org/W2149216032","https://openalex.org/W4293053896","https://openalex.org/W3172682569","https://openalex.org/W2957124302","https://openalex.org/W1495617916"],"abstract_inverted_index":{"Accurate":[0],"and":[1,22,43,107,146,162],"detailed":[2],"measurement":[3],"of":[4,29,76,91],"an":[5,113],"individual\u2019s":[6],"physical":[7,20,33,51,77,154,166],"activity":[8,21,34,78,167],"is":[9],"a":[10,86,104,118,131,142],"key":[11],"requirement":[12],"for":[13,31,117,165],"helping":[14],"researchers":[15],"understand":[16],"the":[17,27,74,93,151],"relationship":[18],"between":[19],"health.":[23],"Accelerometers":[24],"have":[25],"become":[26],"method":[28,134],"choice":[30],"measuring":[32],"due":[35],"to":[36,46,73,139,141,149],"their":[37,44],"small":[38],"size,":[39],"low":[40],"cost,":[41],"convenience":[42],"ability":[45],"provide":[47],"objective":[48],"information":[49],"about":[50],"activity.":[52],"However,":[53],"interpreting":[54],"accelerometer":[55,82,94],"data":[56,95],"once":[57],"it":[58],"has":[59],"been":[60],"collected":[61],"can":[62],"be":[63],"challenging.":[64],"In":[65,122],"this":[66,127],"work,":[67],"we":[68,124],"applied":[69],"machine":[70],"learning":[71,120],"algorithms":[72],"task":[75],"recognition":[79],"from":[80],"triaxial":[81],"data.":[83],"We":[84],"employed":[85],"simple":[87,128],"but":[88],"effective":[89],"approach":[90,129],"dividing":[92],"into":[96,103],"short":[97],"non-overlapping":[98],"windows,":[99],"converting":[100],"each":[101,109],"window":[102,144],"feature":[105,110],"vector,":[106],"treating":[108],"vector":[111],"as":[112],"i.i.d":[114],"training":[115],"instance":[116],"supervised":[119],"algorithm.":[121],"addition,":[123],"improved":[125],"on":[126],"with":[130,159],"multi-scale":[132],"ensemble":[133],"that":[135,153],"did":[136],"not":[137],"need":[138],"commit":[140],"single":[143],"size":[145],"was":[147],"able":[148],"leverage":[150],"fact":[152],"activities":[155],"produced":[156],"time":[157],"series":[158],"repetitive":[160],"patterns":[161],"discriminative":[163],"features":[164],"occurred":[168],"at":[169],"different":[170],"temporal":[171],"scales.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}