{"id":"https://openalex.org/W2974858261","doi":"https://doi.org/10.3390/info10100290","title":"A Feature Selection and Classification Method for Activity Recognition Based on an Inertial Sensing Unit","display_name":"A Feature Selection and Classification Method for Activity Recognition Based on an Inertial Sensing Unit","publication_year":2019,"publication_date":"2019-09-21","ids":{"openalex":"https://openalex.org/W2974858261","doi":"https://doi.org/10.3390/info10100290","mag":"2974858261"},"language":"en","primary_location":{"id":"doi:10.3390/info10100290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10100290","pdf_url":"https://www.mdpi.com/2078-2489/10/10/290/pdf?version=1569050828","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"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":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/10/10/290/pdf?version=1569050828","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026342269","display_name":"Shurui Fan","orcid":"https://orcid.org/0000-0002-0091-4182"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shurui Fan","raw_affiliation_strings":["Tianjin Key Laboratory of Electronic Materials Devices, School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":"https://orcid.org/0000-0002-0091-4182","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Electronic Materials Devices, School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017456140","display_name":"Yating Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Jia","raw_affiliation_strings":["Tianjin Key Laboratory of Electronic Materials Devices, School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Electronic Materials Devices, School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007748224","display_name":"Congyue Jia","orcid":"https://orcid.org/0009-0001-9148-4156"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congyue Jia","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026342269"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.1432,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9035689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":"10","first_page":"290","last_page":"290"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9805999994277954,"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":0.9718999862670898,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7463408708572388},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7461889982223511},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.742585301399231},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6748846769332886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6577645540237427},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6248131990432739},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.6115700006484985},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6039834022521973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5562220811843872},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5027070045471191},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.47564005851745605},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43901675939559937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41181156039237976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3394150137901306},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21114620566368103}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7463408708572388},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7461889982223511},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.742585301399231},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6748846769332886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6577645540237427},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6248131990432739},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.6115700006484985},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6039834022521973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5562220811843872},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5027070045471191},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.47564005851745605},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43901675939559937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41181156039237976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3394150137901306},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21114620566368103},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info10100290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10100290","pdf_url":"https://www.mdpi.com/2078-2489/10/10/290/pdf?version=1569050828","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"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":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0f271b4fe5804a3f954310ad4220977d","is_oa":true,"landing_page_url":"https://doaj.org/article/0f271b4fe5804a3f954310ad4220977d","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":"Information, Vol 10, Iss 10, p 290 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/10/10/290/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info10100290","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":"Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info10100290","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10100290","pdf_url":"https://www.mdpi.com/2078-2489/10/10/290/pdf?version=1569050828","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"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":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974858261.pdf","grobid_xml":"https://content.openalex.org/works/W2974858261.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1419088531","https://openalex.org/W1495617916","https://openalex.org/W1511371019","https://openalex.org/W1525731036","https://openalex.org/W1840860027","https://openalex.org/W1966988608","https://openalex.org/W1999357302","https://openalex.org/W2001053555","https://openalex.org/W2018575951","https://openalex.org/W2023302299","https://openalex.org/W2056929468","https://openalex.org/W2060663350","https://openalex.org/W2064586113","https://openalex.org/W2066338981","https://openalex.org/W2135018291","https://openalex.org/W2148048965","https://openalex.org/W2160488076","https://openalex.org/W2219995598","https://openalex.org/W2246021102","https://openalex.org/W2286602577","https://openalex.org/W2310593982","https://openalex.org/W2313683095","https://openalex.org/W2396265832","https://openalex.org/W2462442000","https://openalex.org/W2472086136","https://openalex.org/W2515006352","https://openalex.org/W2537105705","https://openalex.org/W2541323624","https://openalex.org/W2559988152","https://openalex.org/W2567482009","https://openalex.org/W2610314771","https://openalex.org/W2740331317","https://openalex.org/W2746612610","https://openalex.org/W2785912814","https://openalex.org/W2791878580","https://openalex.org/W2800412969","https://openalex.org/W2807301232","https://openalex.org/W2807342784","https://openalex.org/W2833770766","https://openalex.org/W2850807260","https://openalex.org/W2887499899","https://openalex.org/W2891865530","https://openalex.org/W2902435881","https://openalex.org/W2908076920","https://openalex.org/W6629785765","https://openalex.org/W6656149224","https://openalex.org/W6721048157"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W2545168295","https://openalex.org/W4234814094","https://openalex.org/W1973973903","https://openalex.org/W2365897603","https://openalex.org/W2156308897","https://openalex.org/W3195533899","https://openalex.org/W3208523813","https://openalex.org/W4287084017","https://openalex.org/W3179745820"],"abstract_inverted_index":{"The":[0,150],"purpose":[1],"of":[2,12,14,33,37,56,80,112,119,186],"activity":[3,41,151],"recognition":[4,42,152],"is":[5],"to":[6,54,100,145],"identify":[7],"activities":[8,160],"through":[9,25],"a":[10,34,102,106],"series":[11],"observations":[13],"the":[15,19,31,57,60,78,92,96,110,113,117,120,124,147],"experimenter\u2019s":[16],"behavior":[17],"and":[18,51,71,82,91,122,142,169,171,180],"environmental":[20],"conditions.":[21],"In":[22,59],"this":[23],"study,":[24],"feature":[26,86,103],"selection":[27,87],"algorithms,":[28],"we":[29,63,154],"researched":[30],"effects":[32],"large":[35],"number":[36],"features":[38,66,79,97],"on":[39,109],"human":[40],"(HAR)":[43],"assisted":[44],"by":[45],"an":[46,183],"inertial":[47],"measurement":[48],"unit":[49],"(IMU),":[50],"applied":[52],"them":[53],"smartphones":[55],"future.":[58],"research":[61],"process,":[62,141],"considered":[64],"585":[65],"(calculated":[67],"from":[68],"tri-axial":[69,72],"accelerometer":[70],"gyroscope":[73],"data).":[74],"We":[75,127],"comprehensively":[76],"analyzed":[77],"signals":[81],"classification":[83,111,125,130,148],"methods.":[84],"Three":[85],"algorithms":[88],"were":[89],"considered,":[90],"combination":[93],"effect":[94,108],"between":[95],"was":[98],"used":[99,128],"select":[101],"set":[104],"with":[105,182],"significant":[107],"activity,":[114],"which":[115],"reduced":[116],"complexity":[118],"classifier":[121],"improved":[123],"accuracy.":[126,149],"five":[129],"methods":[131],"(support":[132],"vector":[133],"machine":[134],"[SVM],":[135],"decision":[136],"tree,":[137],"linear":[138],"regression,":[139],"Gaussian":[140],"threshold":[143],"selection)":[144],"verify":[146],"method":[153],"proposed":[155],"could":[156],"recognize":[157],"six":[158],"basic":[159],"(BAs)":[161],"(standing,":[162],"going":[163,165],"upstairs,":[164],"downstairs,":[166],"walking,":[167],"lying,":[168],"sitting)":[170],"postural":[172],"transitions":[173],"(PTs)":[174],"(stand-to-sit,":[175],"sit-to-stand,":[176],"stand-to-lie,":[177],"lie-to-stand,":[178],"sit-to-lie,":[179],"lie-to-sit),":[181],"average":[184],"accuracy":[185],"96.4%.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}