{"id":"https://openalex.org/W2916712302","doi":"https://doi.org/10.3390/s19040947","title":"A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM","display_name":"A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM","publication_year":2019,"publication_date":"2019-02-23","ids":{"openalex":"https://openalex.org/W2916712302","doi":"https://doi.org/10.3390/s19040947","mag":"2916712302","pmid":"https://pubmed.ncbi.nlm.nih.gov/30813418"},"language":"en","primary_location":{"id":"doi:10.3390/s19040947","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19040947","pdf_url":"https://www.mdpi.com/1424-8220/19/4/947/pdf?version=1550904994","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/4/947/pdf?version=1550904994","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006658950","display_name":"Xile Gao","orcid":"https://orcid.org/0000-0002-1957-8369"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xile Gao","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China","Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China. gaoxile17g@ict.ac.cn"],"raw_orcid":"https://orcid.org/0000-0002-1957-8369","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China. gaoxile17g@ict.ac.cn","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052635380","display_name":"Haiyong Luo","orcid":"https://orcid.org/0000-0001-6827-4225"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyong Luo","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":"https://orcid.org/0000-0001-6827-4225","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085403638","display_name":"Qu Wang","orcid":"https://orcid.org/0000-0001-6551-6807"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qu Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunication, Beijing 100876, China"],"raw_orcid":"https://orcid.org/0000-0001-6551-6807","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunication, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329778","display_name":"Fang Zhao","orcid":"https://orcid.org/0000-0002-4784-5778"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Zhao","raw_affiliation_strings":["School of Software Engineering, Beijing University of Posts and Telecommunication, Beijing 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Posts and Telecommunication, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023621528","display_name":"Langlang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Langlang Ye","raw_affiliation_strings":["Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016880079","display_name":"Yuexia Zhang","orcid":"https://orcid.org/0000-0003-3546-473X"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexia Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100876, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052635380"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4.4695,"has_fulltext":true,"cited_by_count":88,"citation_normalized_percentile":{"value":0.95674697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"4","first_page":"947","last_page":"947"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9779999852180481,"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/autoencoder","display_name":"Autoencoder","score":0.7365029454231262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7348853349685669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6687391400337219},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.644554853439331},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6153088808059692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6087823510169983},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5081593990325928},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49285030364990234},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4816126227378845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.443346232175827},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42307716608047485},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.416352778673172},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38454532623291016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38026753067970276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09424707293510437}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7365029454231262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348853349685669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6687391400337219},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.644554853439331},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6153088808059692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6087823510169983},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5081593990325928},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49285030364990234},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4816126227378845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.443346232175827},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42307716608047485},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.416352778673172},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38454532623291016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38026753067970276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09424707293510437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s19040947","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19040947","pdf_url":"https://www.mdpi.com/1424-8220/19/4/947/pdf?version=1550904994","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:30813418","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30813418","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:58796fabe8824caba2676a0ab1962e83","is_oa":true,"landing_page_url":"https://doaj.org/article/58796fabe8824caba2676a0ab1962e83","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":"Sensors, Vol 19, Iss 4, p 947 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5431382","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6412893","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/4/947/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19040947","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6412893","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6412893","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19040947","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19040947","pdf_url":"https://www.mdpi.com/1424-8220/19/4/947/pdf?version=1550904994","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G136725235","display_name":"\u57fa\u4e8e\u4f17\u5305\u548c\u7fa4\u667a\u8ba1\u7b97\u7684\u5ba4\u5185\u65e0\u7ebf\u5b9a\u4f4d\u7406\u8bba\u548c\u65b9\u6cd5","funder_award_id":"61374214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1776627184","display_name":"\u5927\u578b\u57ce\u533a\u590d\u6742\u73af\u5883\u5ba4\u5185\u5916\u65e0\u7f1d\u9ad8\u7cbe\u5ea6\u5b9a\u4f4d\u7406\u8bba\u53ca\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61872046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2788962321","display_name":null,"funder_award_id":"2018YFB0505200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6073400946","display_name":null,"funder_award_id":"2018YFB0505200","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"},{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2916712302.pdf","grobid_xml":"https://content.openalex.org/works/W2916712302.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W38095553","https://openalex.org/W82044129","https://openalex.org/W136430496","https://openalex.org/W1546555028","https://openalex.org/W1857382374","https://openalex.org/W2008311091","https://openalex.org/W2017634428","https://openalex.org/W2025768430","https://openalex.org/W2029556646","https://openalex.org/W2033276313","https://openalex.org/W2039632702","https://openalex.org/W2070006916","https://openalex.org/W2073069519","https://openalex.org/W2127095067","https://openalex.org/W2140944144","https://openalex.org/W2143157063","https://openalex.org/W2145094598","https://openalex.org/W2157633627","https://openalex.org/W2247209766","https://openalex.org/W2295598076","https://openalex.org/W2340025709","https://openalex.org/W2396780844","https://openalex.org/W2484828460","https://openalex.org/W2533823693","https://openalex.org/W2550797816","https://openalex.org/W2555209581","https://openalex.org/W2574406435","https://openalex.org/W2594436708","https://openalex.org/W2596527850","https://openalex.org/W2619606157","https://openalex.org/W2736434434","https://openalex.org/W2759690896","https://openalex.org/W2764145045","https://openalex.org/W2768348081","https://openalex.org/W2773688097","https://openalex.org/W2775007042","https://openalex.org/W2784165734","https://openalex.org/W2789436454","https://openalex.org/W2795615756","https://openalex.org/W2802636049","https://openalex.org/W2803094129","https://openalex.org/W2806153016","https://openalex.org/W2809202603","https://openalex.org/W2887389727","https://openalex.org/W2887499899","https://openalex.org/W2892279525","https://openalex.org/W2897132279","https://openalex.org/W2898460024","https://openalex.org/W2899076796","https://openalex.org/W2903524341","https://openalex.org/W2903559933","https://openalex.org/W2963749793","https://openalex.org/W2997574889","https://openalex.org/W4240495026","https://openalex.org/W6681096077","https://openalex.org/W6745609711","https://openalex.org/W6755110064"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3037110488"],"abstract_inverted_index":{"Recently,":[0],"the":[1,31,35,38,76,84,95],"demand":[2],"for":[3,48,101],"human":[4,55,103,128],"activity":[5,26,56,104],"recognition":[6,27,57],"has":[7],"become":[8],"more":[9,11],"and":[10,46,65,82,133],"urgent.":[12],"It":[13],"is":[14,68,72],"widely":[15],"used":[16],"in":[17,78,121],"indoor":[18],"positioning,":[19],"medical":[20],"monitoring,":[21],"safe":[22],"driving,":[23],"etc.":[24],"Existing":[25],"approaches":[28],"require":[29],"either":[30],"location":[32],"information":[33],"of":[34,113,136,150],"sensors":[36],"or":[37,166],"specific":[39],"domain":[40],"knowledge,":[41],"which":[42,126],"are":[43,108,127],"expensive,":[44],"intrusive,":[45],"inconvenient":[47],"pervasive":[49],"implementation.":[50],"In":[51],"this":[52],"paper,":[53],"a":[54],"algorithm":[58,145],"based":[59],"on":[60,110],"SDAE":[61,71],"(Stacking":[62],"Denoising":[63],"Autoencoder)":[64],"LightGBM":[66],"(LGB)":[67],"proposed.":[69],"The":[70,92,138],"adopted":[73],"to":[74],"sanitize":[75],"noise":[77],"raw":[79],"sensor":[80,115],"data":[81],"extract":[83],"most":[85],"effective":[86],"characteristic":[87],"expression":[88],"with":[89],"unsupervised":[90],"learning.":[91],"LGB":[93],"reveals":[94],"inherent":[96],"feature":[97],"dependencies":[98],"among":[99],"categories":[100],"accurate":[102],"recognition.":[105],"Extensive":[106],"experiments":[107],"conducted":[109],"four":[111],"datasets":[112],"distinct":[114],"combinations":[116],"collected":[117],"by":[118],"different":[119],"devices":[120],"three":[122],"typical":[123],"application":[124],"scenarios,":[125],"moving":[129],"modes,":[130],"current":[131],"static,":[132],"dynamic":[134],"behaviors":[135],"users.":[137],"experimental":[139],"results":[140],"demonstrate":[141],"that":[142],"our":[143],"proposed":[144],"achieves":[146],"an":[147],"average":[148],"accuracy":[149],"95.99%,":[151],"outperforming":[152],"other":[153],"comparative":[154],"algorithms":[155],"using":[156],"XGBoost,":[157],"CNN":[158,162],"(Convolutional":[159],"Neural":[160],"Network),":[161],"+":[163],"Statistical":[164],"features,":[165],"single":[167],"SDAE.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}