{"id":"https://openalex.org/W2901833522","doi":"https://doi.org/10.1155/2018/2659142","title":"Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors","display_name":"Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors","publication_year":2018,"publication_date":"2018-11-22","ids":{"openalex":"https://openalex.org/W2901833522","doi":"https://doi.org/10.1155/2018/2659142","mag":"2901833522"},"language":"en","primary_location":{"id":"doi:10.1155/2018/2659142","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2018/2659142","pdf_url":"https://downloads.hindawi.com/journals/misy/2018/2659142.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2018/2659142.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059827599","display_name":"Zhiqiang Peng","orcid":"https://orcid.org/0000-0001-9319-1878"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqiang Peng","raw_affiliation_strings":["The Division of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9319-1878","affiliations":[{"raw_affiliation_string":"The Division of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333638","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0001-5999-0000"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["The Division of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5999-0000","affiliations":[{"raw_affiliation_string":"The Division of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059827599"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13777167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/acceleration","display_name":"Acceleration","score":0.8459182977676392},{"id":"https://openalex.org/keywords/angular-velocity","display_name":"Angular velocity","score":0.7795886993408203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487331628799438},{"id":"https://openalex.org/keywords/angular-acceleration","display_name":"Angular acceleration","score":0.6864628195762634},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6714619398117065},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6475479602813721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5459751486778259},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5449444651603699},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5135390758514404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44686195254325867},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.42876169085502625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4015198349952698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13966748118400574},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13928020000457764},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06251189112663269}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.8459182977676392},{"id":"https://openalex.org/C5594486","wikidata":"https://www.wikidata.org/wiki/Q161635","display_name":"Angular velocity","level":2,"score":0.7795886993408203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487331628799438},{"id":"https://openalex.org/C190704821","wikidata":"https://www.wikidata.org/wiki/Q186300","display_name":"Angular acceleration","level":3,"score":0.6864628195762634},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6714619398117065},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6475479602813721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5459751486778259},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5449444651603699},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5135390758514404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44686195254325867},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.42876169085502625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4015198349952698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13966748118400574},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13928020000457764},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06251189112663269},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2018/2659142","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2018/2659142","pdf_url":"https://downloads.hindawi.com/journals/misy/2018/2659142.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5d8ea6a64d0c430ca26e5711eae6b193","is_oa":false,"landing_page_url":"https://doaj.org/article/5d8ea6a64d0c430ca26e5711eae6b193","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2018 (2018)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2018/2659142","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/2659142","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2018/2659142","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2018/2659142","pdf_url":"https://downloads.hindawi.com/journals/misy/2018/2659142.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8499932412","display_name":null,"funder_award_id":"61571268","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901833522.pdf","grobid_xml":"https://content.openalex.org/works/W2901833522.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W1993761347","https://openalex.org/W2097575504","https://openalex.org/W2132691216","https://openalex.org/W2195342085"],"related_works":["https://openalex.org/W4280531291","https://openalex.org/W4396851758","https://openalex.org/W123316752","https://openalex.org/W2628866709","https://openalex.org/W1998712660","https://openalex.org/W2275557598","https://openalex.org/W1510705688","https://openalex.org/W2322149471","https://openalex.org/W2363911845","https://openalex.org/W3134829590"],"abstract_inverted_index":{"Correctly":[0],"identifying":[1],"human":[2],"activities":[3,28,120],"is":[4,54],"very":[5],"significant":[6],"in":[7,32,125],"modern":[8],"life.":[9],"Almost":[10],"all":[11],"feature":[12,45],"extraction":[13,46],"methods":[14],"are":[15,104],"based":[16,48,98],"directly":[17],"on":[18,49,99],"acceleration":[19,33,50,100,126],"and":[20,34,51,83,95,101,127,130,137],"angular":[21,35,52,102,128],"velocity.":[22,36],"However,":[23],"we":[24,38,68,89],"found":[25],"that":[26,40,109,121],"some":[27],"have":[29,122],"no":[30,123],"difference":[31,63,124],"Therefore,":[37],"believe":[39],"for":[41],"these":[42,65],"activities,":[43],"any":[44],"method":[47],"velocity":[53,103],"difficult":[55],"to":[56,73],"achieve":[57],"good":[58],"results.":[59],"After":[60],"analyzing":[61],"the":[62,80,92,116,119,132,144],"of":[64,76,118,134,146],"indistinguishable":[66],"movements,":[67],"propose":[69],"several":[70],"new":[71],"features":[72,82,94,97,113,136,139],"improve":[74,115,143],"accuracy":[75],"recognition.":[77],"We":[78],"compare":[79],"traditional":[81],"our":[84,111],"custom":[85,112],"features.":[86],"In":[87],"addition,":[88],"examined":[90],"whether":[91],"time-domain":[93,135],"frequency-domain":[96,138],"different.":[105],"The":[106],"results":[107],"show":[108],"(1)":[110],"significantly":[114,142],"precision":[117],"velocity;":[129],"(2)":[131],"combination":[133],"does":[140],"not":[141],"recognition":[145],"different":[147],"activities.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}