{"id":"https://openalex.org/W3037306157","doi":"https://doi.org/10.2298/csis190920005v","title":"Human activities recognition with a single writs IMU via a Variational Autoencoder and android deep recurrent neural nets","display_name":"Human activities recognition with a single writs IMU via a Variational Autoencoder and android deep recurrent neural nets","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037306157","doi":"https://doi.org/10.2298/csis190920005v","mag":"3037306157"},"language":"en","primary_location":{"id":"doi:10.2298/csis190920005v","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis190920005v","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000005V","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000005V","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110694501","display_name":"A\u00f1azco Valarezo","orcid":null},"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"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"A\u00f1azco Valarezo","raw_affiliation_strings":["Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lopez Rivera","orcid":null},"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"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Lopez Rivera","raw_affiliation_strings":["Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101533807","display_name":"Hyemin Park","orcid":"https://orcid.org/0000-0002-5453-4214"},"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"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyemin Park","raw_affiliation_strings":["Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068258415","display_name":"Nahyeon Park","orcid":null},"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"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nahyeon Park","raw_affiliation_strings":["Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102935360","display_name":"Tae\u2010Seong Kim","orcid":"https://orcid.org/0009-0008-2751-3267"},"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"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Seong Kim","raw_affiliation_strings":["Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110694501"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.8832,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76309115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"2","first_page":"581","last_page":"597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9979000091552734,"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":0.9979000091552734,"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":0.984000027179718,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9480000138282776,"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.8242344856262207},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.8055692911148071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7818390130996704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485722064971924},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.614775538444519},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.592001736164093},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5732174515724182},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.49622470140457153},{"id":"https://openalex.org/keywords/android-application","display_name":"Android application","score":0.4237849712371826},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4111669957637787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34516477584838867},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.20840206742286682},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.13658612966537476},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07785910367965698}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.8242344856262207},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.8055692911148071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818390130996704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485722064971924},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.614775538444519},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.592001736164093},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5732174515724182},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.49622470140457153},{"id":"https://openalex.org/C3017891749","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android application","level":3,"score":0.4237849712371826},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4111669957637787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34516477584838867},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.20840206742286682},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.13658612966537476},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07785910367965698}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis190920005v","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis190920005v","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000005V","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis190920005v","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis190920005v","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000005V","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"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/G5233055659","display_name":null,"funder_award_id":"NRF-2019R1A2C1003713","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/F4320318856","display_name":"Escuela Superior Polit\u00e9cnica del Litoral","ror":"https://ror.org/04qenc566"},{"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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037306157.pdf","grobid_xml":"https://content.openalex.org/works/W3037306157.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1086688568","https://openalex.org/W1564237868","https://openalex.org/W1590718058","https://openalex.org/W1925444676","https://openalex.org/W1967757710","https://openalex.org/W1991539813","https://openalex.org/W2026297770","https://openalex.org/W2063598276","https://openalex.org/W2088111259","https://openalex.org/W2122567824","https://openalex.org/W2170093473","https://openalex.org/W2183685922","https://openalex.org/W2202411278","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2338565696","https://openalex.org/W2344284192","https://openalex.org/W2345653080","https://openalex.org/W2526868004","https://openalex.org/W2527611302","https://openalex.org/W2540822603","https://openalex.org/W2584701511","https://openalex.org/W2605049121","https://openalex.org/W2624684564","https://openalex.org/W2724398474","https://openalex.org/W2765308781","https://openalex.org/W2768731046","https://openalex.org/W2769692579","https://openalex.org/W2774025476","https://openalex.org/W2774740186","https://openalex.org/W2783574669","https://openalex.org/W2783796810","https://openalex.org/W2784192698","https://openalex.org/W2810474558","https://openalex.org/W2887070540","https://openalex.org/W2894454635","https://openalex.org/W2963166639","https://openalex.org/W2963855167","https://openalex.org/W3001191590","https://openalex.org/W4230034369","https://openalex.org/W6677966395","https://openalex.org/W6746348563","https://openalex.org/W6990696534"],"related_works":["https://openalex.org/W2748818549","https://openalex.org/W4304142278","https://openalex.org/W2342865424","https://openalex.org/W2587509230","https://openalex.org/W4283331601","https://openalex.org/W3097068272","https://openalex.org/W4210780304","https://openalex.org/W2802035586","https://openalex.org/W3093846146","https://openalex.org/W4313463160"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"is":[4,29,60,82,90,141,154],"an":[5,33,144,163],"active":[6],"research":[7],"field":[8],"because":[9],"of":[10,98,100,112],"its":[11],"versatility":[12],"towards":[13],"various":[14],"application":[15],"areas":[16],"such":[17],"as":[18],"healthcare":[19],"and":[20,37,76,131,175,180],"lifecare.":[21],"In":[22,121],"this":[23],"study,":[24],"a":[25,45,53,93,195,200],"novel":[26],"HAR":[27,68,80,123,160,165,188],"system":[28,81,89,140,161],"proposed":[30],"based":[31],"on":[32,52,92,143,194],"autoencoder":[34],"for":[35,42,203],"denoising":[36],"Recurrent":[38],"Neural":[39],"Network":[40],"(RNN)":[41],"classification":[43],"with":[44,181,199],"single":[46,201],"Inertial":[47],"Measurement":[48],"Unit":[49],"(IMU)":[50],"located":[51],"dominant":[54],"wrist.":[55],"A":[56],"Variational":[57],"Autoencoder":[58],"(VAE)":[59],"built":[61],"to":[62,118,127,134,162],"denoise":[63],"IMU":[64,114,202],"signals":[65],"which":[66],"improves":[67,108,124],"by":[69,156],"Android":[70,77,145,164,168],"Deep":[71,78,169],"RNN.":[72],"Evaluating":[73],"our":[74],"VAE":[75,107,182],"RNN":[79],"done":[83,155],"in":[84,129,136,177,192],"two":[85],"ways.":[86],"First,":[87],"the":[88,113,139,158],"tested":[91,142],"PC":[94,159],"using":[95,149],"discrete":[96],"epochs":[97],"activities":[99],"daily":[101],"living.":[102],"Our":[103,184],"results":[104,185],"show":[105],"that":[106,187],"Signal-to-Noise":[109],"Ratio":[110],"(SNR)":[111],"signal":[115],"from":[116,125,132],"8.78":[117],"17.26":[119],"dB.":[120],"turn,":[122],"89.29%":[126],"95.11%":[128],"F1-score":[130],"90.38%":[133],"95.47%":[135],"accuracy.":[137],"Secondly,":[138],"device":[146,198],"(i.e.,":[147,167],"smartphone)":[148],"continuous":[150],"activity":[151],"signals.":[152],"This":[153],"transferring":[157],"App":[166],"RNN).":[170],"We":[171],"have":[172],"achieved":[173,191],"86.13%":[174],"95.09%":[176],"accuracy":[178],"without":[179],"respectively.":[183],"demonstrate":[186],"can":[189],"be":[190],"real-time":[193],"standalone":[196],"smart":[197],"lifelogging":[204],"services.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}