{"id":"https://openalex.org/W4307437108","doi":"https://doi.org/10.3390/s22218226","title":"Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn Wearable Sensor","display_name":"Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn Wearable Sensor","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4307437108","doi":"https://doi.org/10.3390/s22218226","pmid":"https://pubmed.ncbi.nlm.nih.gov/36365930"},"language":"en","primary_location":{"id":"doi:10.3390/s22218226","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218226","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8226/pdf?version=1666867422","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/1424-8220/22/21/8226/pdf?version=1666867422","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047327039","display_name":"Muhammad Zeeshan Arshad","orcid":"https://orcid.org/0000-0003-4397-270X"},"institutions":[{"id":"https://openalex.org/I4210140519","display_name":"Korean Association Of Science and Technology Studies","ror":"https://ror.org/04qh86j58","country_code":"KR","type":"other","lineage":["https://openalex.org/I4210140519"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Muhammad Zeeshan Arshad","raw_affiliation_strings":["Center for Artificial Intelligence, Korea Institute of Science and Technology, Seoul 02792, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Korea Institute of Science and Technology, Seoul 02792, Korea","institution_ids":["https://openalex.org/I4210140519","https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090907568","display_name":"Ankhzaya Jamsrandorj","orcid":"https://orcid.org/0000-0001-9236-057X"},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ankhzaya Jamsrandorj","raw_affiliation_strings":["Department of Human-Computer Interface & Robotics Engineering, University of Science & Technology, Daejon 34113, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human-Computer Interface & Robotics Engineering, University of Science & Technology, Daejon 34113, Korea","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753950","display_name":"Jinwook Kim","orcid":"https://orcid.org/0000-0002-2072-3922"},"institutions":[{"id":"https://openalex.org/I4210140519","display_name":"Korean Association Of Science and Technology Studies","ror":"https://ror.org/04qh86j58","country_code":"KR","type":"other","lineage":["https://openalex.org/I4210140519"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwook Kim","raw_affiliation_strings":["Center for Artificial Intelligence, Korea Institute of Science and Technology, Seoul 02792, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Korea Institute of Science and Technology, Seoul 02792, Korea","institution_ids":["https://openalex.org/I4210140519","https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103024951","display_name":"Kyung-Ryoul Mun","orcid":"https://orcid.org/0000-0001-5951-1014"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]},{"id":"https://openalex.org/I4210140519","display_name":"Korean Association Of Science and Technology Studies","ror":"https://ror.org/04qh86j58","country_code":"KR","type":"other","lineage":["https://openalex.org/I4210140519"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyung-Ryoul Mun","raw_affiliation_strings":["Center for Artificial Intelligence, Korea Institute of Science and Technology, Seoul 02792, Korea","KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Korea Institute of Science and Technology, Seoul 02792, Korea","institution_ids":["https://openalex.org/I4210140519","https://openalex.org/I58716616"]},{"raw_affiliation_string":"KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103024951"],"corresponding_institution_ids":["https://openalex.org/I35928602","https://openalex.org/I4210140519","https://openalex.org/I58716616"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":2.8134,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.91464385,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"22","issue":"21","first_page":"8226","last_page":"8226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9983000159263611,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.764082670211792},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7192214727401733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6889834403991699},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6587024927139282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6315507888793945},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6240074038505554},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4531833827495575},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.4311750531196594},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4282686710357666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3720378875732422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3348366618156433},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22024977207183838},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.2136821150779724},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11128053069114685},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1062641441822052}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.764082670211792},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7192214727401733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6889834403991699},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6587024927139282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6315507888793945},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6240074038505554},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4531833827495575},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.4311750531196594},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4282686710357666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3720378875732422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3348366618156433},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22024977207183838},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.2136821150779724},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11128053069114685},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1062641441822052},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22218226","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218226","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8226/pdf?version=1666867422","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:36365930","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36365930","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":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9655831","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9655831","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"},{"id":"pmh:oai:doaj.org/article:c0f5cb6ba4d4496ebade17f84ef440e0","is_oa":true,"landing_page_url":"https://doaj.org/article/c0f5cb6ba4d4496ebade17f84ef440e0","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 22, Iss 21, p 8226 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/21/8226/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22218226","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 22; Issue 21; Pages: 8226","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22218226","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218226","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8226/pdf?version=1666867422","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/G1626443896","display_name":null,"funder_award_id":"1711139131","funder_id":"https://openalex.org/F4320318847","funder_display_name":"Korea Medical Device Development Fund"},{"id":"https://openalex.org/G215335201","display_name":null,"funder_award_id":"1711139131","funder_id":"https://openalex.org/F4320322014","funder_display_name":"Ministry of Food and Drug Safety"},{"id":"https://openalex.org/G2746840750","display_name":null,"funder_award_id":"1375027374","funder_id":"https://openalex.org/F4320318847","funder_display_name":"Korea Medical Device Development Fund"}],"funders":[{"id":"https://openalex.org/F4320318847","display_name":"Korea Medical Device Development Fund","ror":null},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322014","display_name":"Ministry of Food and Drug Safety","ror":"https://ror.org/01f7dp456"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307437108.pdf","grobid_xml":"https://content.openalex.org/works/W4307437108.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W31641456","https://openalex.org/W1578781862","https://openalex.org/W1847168837","https://openalex.org/W1964304792","https://openalex.org/W1975099596","https://openalex.org/W1981467401","https://openalex.org/W2008854521","https://openalex.org/W2036970661","https://openalex.org/W2056873772","https://openalex.org/W2058161128","https://openalex.org/W2064675550","https://openalex.org/W2066216522","https://openalex.org/W2076266873","https://openalex.org/W2077411129","https://openalex.org/W2079098032","https://openalex.org/W2079501369","https://openalex.org/W2100616727","https://openalex.org/W2115515636","https://openalex.org/W2132524523","https://openalex.org/W2142102604","https://openalex.org/W2144499799","https://openalex.org/W2148080316","https://openalex.org/W2155931565","https://openalex.org/W2155952367","https://openalex.org/W2157331557","https://openalex.org/W2159296038","https://openalex.org/W2167311298","https://openalex.org/W2222399534","https://openalex.org/W2258968934","https://openalex.org/W2289628494","https://openalex.org/W2335882257","https://openalex.org/W2338503377","https://openalex.org/W2519457600","https://openalex.org/W2892161743","https://openalex.org/W2901189844","https://openalex.org/W2914419435","https://openalex.org/W2968271573","https://openalex.org/W3036348879","https://openalex.org/W3084117216","https://openalex.org/W3155372720","https://openalex.org/W3161618119","https://openalex.org/W3193894556","https://openalex.org/W3206852795","https://openalex.org/W3211410899","https://openalex.org/W4211003818","https://openalex.org/W6601300186","https://openalex.org/W6634506136","https://openalex.org/W6677629181","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W4226182457","https://openalex.org/W2148547327","https://openalex.org/W2158764002","https://openalex.org/W4226236273","https://openalex.org/W2125892956","https://openalex.org/W2130975749","https://openalex.org/W2493973380","https://openalex.org/W3082879976"],"abstract_inverted_index":{"Elderly":[0],"gait":[1,51,155,211,228],"is":[2,207],"a":[3,27,34,58,98,161,215],"source":[4],"of":[5,40,50,124,138,166,173,189,198,227],"rich":[6],"information":[7,41],"about":[8],"their":[9],"physical":[10],"and":[11,37,64,101,109,126,143,176,181,204,230],"mental":[12],"health":[13,244],"condition.":[14],"As":[15],"an":[16,38,171],"alternative":[17],"to":[18,46,92,223],"the":[19,23,31,48,55,62,87,107,131,135,151,158,186,196,225],"multiple":[20],"sensors":[21,78],"on":[22,30,61],"lower":[24],"body":[25],"parts,":[26],"single":[28,59,216],"sensor":[29,60,89],"pelvis":[32],"has":[33],"positional":[35],"advantage":[36],"abundance":[39],"acquirable.":[42],"This":[43],"study":[44,220],"aimed":[45],"improve":[47],"accuracy":[49,123],"event":[52,156,212],"detection":[53,213,229],"in":[54,164,234],"elderly":[56,72],"using":[57,214],"waist":[63,88,217],"deep":[65],"learning":[66],"models.":[67],"Data":[68],"were":[69],"gathered":[70],"from":[71,86,116,150],"subjects":[73],"equipped":[74],"with":[75,104,202],"three":[76],"IMU":[77,118],"while":[79],"they":[80],"walked.":[81],"The":[82,112,192,219],"input":[83],"taken":[84],"only":[85],"was":[90,114,128],"used":[91,241],"train":[93],"16":[94],"deep-learning":[95],"models":[96,201],"including":[97],"CNN,":[99],"RNN,":[100],"CNN-RNN":[102,199],"hybrid":[103,200],"or":[105,247],"without":[106],"Bidirectional":[108,205],"Attention":[110,203],"mechanism.":[111],"groundtruth":[113],"extracted":[115],"foot":[117],"sensors.":[119],"A":[120],"fairly":[121],"high":[122],"99.73%":[125],"93.89%":[127],"achieved":[129],"by":[130],"CNN-BiGRU-Att":[132],"model":[133,159],"at":[134,185],"tolerance":[136,187],"window":[137,188],"\u00b16":[139],"TS":[140,145],"(\u00b16":[141],"ms)":[142],"\u00b11":[144,190],"(\u00b11":[146],"ms),":[147],"respectively.":[148],"Advancing":[149],"previous":[152],"studies":[153],"exploring":[154],"detection,":[157],"demonstrated":[160,194],"great":[162],"improvement":[163],"terms":[165],"its":[167,232],"prediction":[168],"error":[169],"having":[170],"MAE":[172],"6.239":[174],"ms":[175,178],"5.24":[177],"for":[179,209,242],"HS":[180],"TO":[182],"events,":[183],"respectively,":[184],"TS.":[191],"results":[193],"that":[195,238],"use":[197],"mechanisms":[206],"promising":[208],"accurate":[210],"sensor.":[218],"can":[221,239],"contribute":[222],"reducing":[224],"burden":[226],"increase":[231],"applicability":[233],"future":[235],"wearable":[236],"devices":[237],"be":[240],"remote":[243],"monitoring":[245],"(RHM)":[246],"diagnosis":[248],"based":[249],"thereon.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
