{"id":"https://openalex.org/W4200566738","doi":"https://doi.org/10.3390/s21248270","title":"Predicting Human Motion Signals Using Modern Deep Learning Techniques and Smartphone Sensors","display_name":"Predicting Human Motion Signals Using Modern Deep Learning Techniques and Smartphone Sensors","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W4200566738","doi":"https://doi.org/10.3390/s21248270","pmid":"https://pubmed.ncbi.nlm.nih.gov/34960368"},"language":"en","primary_location":{"id":"doi:10.3390/s21248270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248270","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8270/pdf?version=1639493643","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/1424-8220/21/24/8270/pdf?version=1639493643","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100359408","display_name":"Taehwan Kim","orcid":"https://orcid.org/0000-0003-3929-7676"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taehwan Kim","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599879","display_name":"Jeong-Ho Park","orcid":"https://orcid.org/0000-0001-9382-3476"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeongho Park","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599879","display_name":"Jeong-Ho Park","orcid":"https://orcid.org/0000-0001-9382-3476"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongho Park","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007448023","display_name":"Juwon Lee","orcid":"https://orcid.org/0000-0003-4402-0161"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juwon Lee","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644682","display_name":"Jooyoung Park","orcid":"https://orcid.org/0000-0002-8949-593X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jooyoung Park","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644682","display_name":"Jooyoung Park","orcid":"https://orcid.org/0000-0002-8949-593X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jooyoung Park","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Korea University, 2511 Sejong-ro, Sejong-City 30019, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100599879","https://openalex.org/A5100644682"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3884,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62691077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"21","issue":"24","first_page":"8270","last_page":"8270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7435334920883179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7186188697814941},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6766622066497803},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6475416421890259},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6124807596206665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.582145631313324},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5471680164337158},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4532628059387207},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4517965018749237},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.45145851373672485},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4262504577636719},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.42567238211631775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3707921504974365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1011994481086731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08081579208374023}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7435334920883179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186188697814941},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6766622066497803},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6475416421890259},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6124807596206665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.582145631313324},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5471680164337158},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4532628059387207},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4517965018749237},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.45145851373672485},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4262504577636719},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.42567238211631775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3707921504974365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1011994481086731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08081579208374023},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21248270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248270","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8270/pdf?version=1639493643","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:34960368","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34960368","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:694b163c0ac64df7ae98c157160333e4","is_oa":true,"landing_page_url":"https://doaj.org/article/694b163c0ac64df7ae98c157160333e4","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":"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 21, Iss 24, p 8270 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/24/8270/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21248270","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; Volume 21; Issue 24; Pages: 8270","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8703955","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8703955","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s21248270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248270","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8270/pdf?version=1639493643","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":[],"awards":[{"id":"https://openalex.org/G3034753964","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"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/G3942910960","display_name":null,"funder_award_id":"(NRF) grant","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5514975219","display_name":null,"funder_award_id":"2020R1F1A10","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7582299727","display_name":null,"funder_award_id":"2020R1F1A1072772","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/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200566738.pdf","grobid_xml":"https://content.openalex.org/works/W4200566738.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W179028102","https://openalex.org/W1970493599","https://openalex.org/W1980110527","https://openalex.org/W2064675550","https://openalex.org/W2122567824","https://openalex.org/W2124609748","https://openalex.org/W2129793335","https://openalex.org/W2137983211","https://openalex.org/W2157331557","https://openalex.org/W2259263553","https://openalex.org/W2387306914","https://openalex.org/W2613660235","https://openalex.org/W2616559060","https://openalex.org/W2737035606","https://openalex.org/W2795359211","https://openalex.org/W2799494318","https://openalex.org/W2811146364","https://openalex.org/W2898186212","https://openalex.org/W2901438495","https://openalex.org/W2901533061","https://openalex.org/W2928318647","https://openalex.org/W2946273500","https://openalex.org/W2948204427","https://openalex.org/W2952429093","https://openalex.org/W2963304300","https://openalex.org/W2963563124","https://openalex.org/W2980345603","https://openalex.org/W2983704835","https://openalex.org/W3003257820","https://openalex.org/W3010246639","https://openalex.org/W3010501116","https://openalex.org/W3013072615","https://openalex.org/W3013964275","https://openalex.org/W3034527633","https://openalex.org/W3040022391","https://openalex.org/W3041886307","https://openalex.org/W3096609285","https://openalex.org/W3096731295","https://openalex.org/W3103145119","https://openalex.org/W3103212978","https://openalex.org/W3103272945","https://openalex.org/W3109597949","https://openalex.org/W3126750064","https://openalex.org/W3127543252","https://openalex.org/W3162090017","https://openalex.org/W3195445035","https://openalex.org/W3217657661","https://openalex.org/W4240495026","https://openalex.org/W6675128902","https://openalex.org/W6745081244"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W2942893872","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W2065606036"],"abstract_inverted_index":{"The":[0,179,211],"global":[1],"adoption":[2],"of":[3,60,120,188,201,213,226],"smartphone":[4],"technology":[5],"affords":[6],"many":[7],"conveniences,":[8],"and":[9,28,42,50,107,144,171,193],"not":[10],"surprisingly,":[11],"healthcare":[12],"applications":[13,27],"using":[14,84],"wearable":[15,48],"sensors":[16,127],"like":[17],"smartphones":[18],"have":[19,35,91],"received":[20],"much":[21],"attention.":[22],"Among":[23],"the":[24,58,85,116,133,140,172,175,199,202,205,214,224,227],"various":[25],"potential":[26,241],"research":[29],"related":[30],"to":[31,99,129,204],"healthcare,":[32],"recent":[33],"studies":[34],"been":[36,92],"conducted":[37],"on":[38],"recognizing":[39],"human":[40,44,122],"activities":[41],"characterizing":[43],"motions,":[45],"often":[46],"with":[47,51,115,139],"sensors,":[49],"sensor":[52,67,86],"signals":[53,68,87,124,135],"that":[54,234],"generally":[55],"operate":[56],"in":[57,194,217],"form":[59],"time":[61,96],"series.":[62],"In":[63,110],"most":[64],"studies,":[65],"these":[66,195],"are":[69],"used":[70,93],"after":[71],"pre-processing,":[72],"e.g.,":[73],"by":[74],"converting":[75,95],"them":[76],"into":[77,136,150],"an":[78,148],"image":[79,100,137],"format":[80],"rather":[81],"than":[82,223],"directly":[83],"themselves.":[88],"Several":[89],"methods":[90],"for":[94,239],"series":[97],"data":[98],"formats,":[101],"such":[102],"as":[103,147,184],"spectrograms,":[104],"raw":[105],"plots,":[106],"recurrence":[108,141],"plots.":[109],"this":[111,218],"paper,":[112],"we":[113,160,197,232],"deal":[114],"health":[117],"care":[118],"task":[119],"predicting":[121,156],"motion":[123,134,158,248],"obtained":[125],"from":[126],"attached":[128],"persons.":[130],"We":[131],"convert":[132],"formats":[138],"plot":[142],"method,":[143],"use":[145],"it":[146,235],"input":[149],"a":[151,162,185,189],"deep":[152,165],"learning":[153,166],"model.":[154,210],"For":[155],"subsequent":[157],"signals,":[159],"utilize":[161],"recently":[163],"introduced":[164],"model":[167,180,203,229],"combining":[168],"neural":[169,177,191,207],"networks":[170],"Fourier":[173,176],"transform,":[174],"operator.":[178],"can":[181,236],"be":[182,237],"viewed":[183],"Fourier-transform-based":[186],"extension":[187],"convolution":[190,206],"network,":[192],"experiments,":[196],"compare":[198],"results":[200,212,225],"network":[208],"(CNN)":[209],"proposed":[215],"method":[216],"paper":[219],"show":[220],"better":[221],"performance":[222],"CNN":[228],"and,":[230],"furthermore,":[231],"confirm":[233],"utilized":[238],"detecting":[240],"accidental":[242],"falls":[243],"more":[244],"quickly":[245],"via":[246],"predicted":[247],"signals.":[249]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-06T05:59:17.497350","created_date":"2025-10-10T00:00:00"}
