{"id":"https://openalex.org/W2891865530","doi":"https://doi.org/10.1155/2018/9762098","title":"Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition","display_name":"Position-Based Feature Selection for Body Sensors regarding Daily Living Activity Recognition","publication_year":2018,"publication_date":"2018-09-13","ids":{"openalex":"https://openalex.org/W2891865530","doi":"https://doi.org/10.1155/2018/9762098","mag":"2891865530"},"language":"en","primary_location":{"id":"doi:10.1155/2018/9762098","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/9762098","pdf_url":"https://downloads.hindawi.com/journals/js/2018/9762098.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","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/js/2018/9762098.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032418947","display_name":"Nhan Duc Nguyen","orcid":"https://orcid.org/0000-0002-5976-0819"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nhan Duc Nguyen","raw_affiliation_strings":["Department of Electrical Engineering, Kookmin University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Kookmin University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022893593","display_name":"Duong Trong Bui","orcid":"https://orcid.org/0000-0002-9277-4710"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Duong Trong Bui","raw_affiliation_strings":["Department of Electrical Engineering, Kookmin University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Kookmin University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089855087","display_name":"Phuc Huu Truong","orcid":"https://orcid.org/0000-0002-4802-5309"},"institutions":[{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Phuc Huu Truong","raw_affiliation_strings":["Korea Institute of Industrial Technology, Ansan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Industrial Technology, Ansan, Republic of Korea","institution_ids":["https://openalex.org/I89004649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012425722","display_name":"Gu\u2010Min Jeong","orcid":"https://orcid.org/0000-0002-9281-4540"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Gu-Min Jeong","raw_affiliation_strings":["Department of Electrical Engineering, Kookmin University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Kookmin University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012425722"],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.7437,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.77305433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9988999962806702,"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":0.9988999962806702,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9297000169754028,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9180999994277954,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/feature-selection","display_name":"Feature selection","score":0.7202258706092834},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7086735367774963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6363853216171265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6344178915023804},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5890858173370361},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5553179383277893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5175387263298035},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4728534519672394},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46488022804260254},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44451767206192017},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4444265365600586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37321656942367554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2637752890586853}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7202258706092834},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7086735367774963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363853216171265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6344178915023804},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5890858173370361},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5553179383277893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5175387263298035},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4728534519672394},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46488022804260254},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44451767206192017},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4444265365600586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37321656942367554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2637752890586853},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1155/2018/9762098","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/9762098","pdf_url":"https://downloads.hindawi.com/journals/js/2018/9762098.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ca0465220f044abba3e5d376ba47dd7c","is_oa":true,"landing_page_url":"https://doaj.org/article/ca0465220f044abba3e5d376ba47dd7c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/9762098","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/9762098","pdf_url":"https://downloads.hindawi.com/journals/js/2018/9762098.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2177097894","display_name":null,"funder_award_id":"NRF-2015R1D1A1A01060917","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G2533116898","display_name":null,"funder_award_id":"NRF-2016R1A5A1012966","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G2742038844","display_name":null,"funder_award_id":"2016R1A5A1012966","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G320798460","display_name":null,"funder_award_id":"2015R1D1A1A01060917","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G342704958","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3491280770","display_name":null,"funder_award_id":"2016R1A5A1012966","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G3557641403","display_name":null,"funder_award_id":"NRF-2015R1D1A1A01060917","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G3883912982","display_name":null,"funder_award_id":"NRF-2015R1D1A1A0106","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4010049903","display_name":null,"funder_award_id":"2015R1D1A1A01","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4244126222","display_name":null,"funder_award_id":"NRF-2016","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7345133914","display_name":null,"funder_award_id":"NRF-2016R1A5A1012966","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G7498461018","display_name":null,"funder_award_id":"2016R1A5A1012966","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G7555150420","display_name":null,"funder_award_id":"NRF-2016R1A5A1012966","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7711238134","display_name":null,"funder_award_id":"NRF-2015R1D1A1A01","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7933130775","display_name":null,"funder_award_id":"NRF-2016R1A","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8003307998","display_name":null,"funder_award_id":"2016R1A5A1012966","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G8661133557","display_name":null,"funder_award_id":"NRF-2015R","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8952370644","display_name":null,"funder_award_id":"NRF-2015","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G982292920","display_name":null,"funder_award_id":"NRF-20","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891865530.pdf","grobid_xml":"https://content.openalex.org/works/W2891865530.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W178564522","https://openalex.org/W1495617916","https://openalex.org/W1510660243","https://openalex.org/W1527911497","https://openalex.org/W1545302199","https://openalex.org/W1576730730","https://openalex.org/W1583700199","https://openalex.org/W1847526739","https://openalex.org/W2013582641","https://openalex.org/W2014431515","https://openalex.org/W2026535637","https://openalex.org/W2067299273","https://openalex.org/W2068006147","https://openalex.org/W2072026441","https://openalex.org/W2096680959","https://openalex.org/W2105046342","https://openalex.org/W2119387367","https://openalex.org/W2128121198","https://openalex.org/W2132379769","https://openalex.org/W2154053567","https://openalex.org/W2157755551","https://openalex.org/W2168538666","https://openalex.org/W2172000360","https://openalex.org/W2195342085","https://openalex.org/W2482368507","https://openalex.org/W2537834298","https://openalex.org/W2582769230","https://openalex.org/W2600842288","https://openalex.org/W2730630873","https://openalex.org/W2803275737","https://openalex.org/W2810572381","https://openalex.org/W3097993951","https://openalex.org/W4230962939","https://openalex.org/W4285719527","https://openalex.org/W4289236186"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,20,36,53,69,115,171,194,229],"novel":[4],"approach":[5,41],"to":[6,18,56,88,109,119,131,150,197,208,210,228],"recognize":[7,57],"activities":[8,199],"based":[9],"on":[10,82],"sensor-placement":[11],"feature":[12,46,76,83,92,112,122,166,177],"selection.":[13],"The":[14,154,203],"method":[15,149,189,204],"is":[16,117,205],"designed":[17],"address":[19],"problem":[21],"of":[22,26,35,85,103,143,182,200],"multisensor":[23],"fusion":[24],"information":[25,225],"wearable":[27],"sensors":[28],"which":[29,124],"are":[30,79],"located":[31],"in":[32,106],"different":[33],"positions":[34,130],"human":[37],"body.":[38],"Precisely,":[39],"the":[40,44,64,90,101,104,111,147,151,161,165,180],"can":[42,159,190],"extract":[43],"best":[45,91],"set":[47,93,108],"that":[48,157],"characterizes":[49],"each":[50,86,95,107,183,219],"activity":[51,212],"regarding":[52],"body-sensor":[54],"location":[55],"daily":[58,201],"living":[59],"activities.":[60,134],"We":[61],"firstly":[62],"preprocess":[63],"raw":[65],"data":[66,216],"by":[67,145,175],"utilizing":[68],"low-pass":[70],"filter.":[71],"After":[72],"extracting":[73],"various":[74],"features,":[75],"selection":[77,167,178],"algorithms":[78],"applied":[80,118],"separately":[81],"sets":[84],"sensor":[87,220],"obtain":[89,139],"for":[94,164,179,193],"body":[96,129],"position.":[97],"Then,":[98],"we":[99,138,158],"investigate":[100],"correlation":[102],"features":[105,126],"optimize":[110],"set.":[113],"Finally,":[114],"classifier":[116],"an":[120,140,211],"optimized":[121],"set,":[123],"contains":[125],"from":[127],"four":[128],"classify":[132,198],"thirteen":[133],"In":[135,185],"experimental":[136],"results,":[137],"overall":[141],"accuracy":[142,173],"99.13%":[144],"applying":[146],"proposed":[148,188],"benchmark":[152],"dataset.":[153],"results":[155],"show":[156],"reduce":[160],"computation":[162],"time":[163],"step":[168],"and":[169],"achieve":[170],"high":[172],"rate":[174],"performing":[176],"placement":[181],"sensor.":[184],"addition,":[186],"our":[187],"be":[191],"used":[192],"multiple-sensor":[195],"configuration":[196],"living.":[202],"also":[206],"expected":[207],"deploy":[209],"classification":[213],"system-based":[214],"big":[215],"platform":[217],"since":[218],"node":[221],"only":[222],"sends":[223],"essential":[224],"characterizing":[226],"itself":[227],"cloud":[230],"server.":[231]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
