{"id":"https://openalex.org/W4289172806","doi":"https://doi.org/10.3390/informatics9030056","title":"Wearable Sensor-Based Human Activity Recognition with Hybrid Deep Learning Model","display_name":"Wearable Sensor-Based Human Activity Recognition with Hybrid Deep Learning Model","publication_year":2022,"publication_date":"2022-07-31","ids":{"openalex":"https://openalex.org/W4289172806","doi":"https://doi.org/10.3390/informatics9030056"},"language":"en","primary_location":{"id":"doi:10.3390/informatics9030056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics9030056","pdf_url":"https://www.mdpi.com/2227-9709/9/3/56/pdf?version=1659274861","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"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":"Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-9709/9/3/56/pdf?version=1659274861","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036690812","display_name":"Yee Jia Luwe","orcid":"https://orcid.org/0000-0002-9597-3942"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yee Jia Luwe","raw_affiliation_strings":["Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086127398","display_name":"Chin Poo Lee","orcid":"https://orcid.org/0000-0003-3679-8977"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Chin Poo Lee","raw_affiliation_strings":["Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-3679-8977","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017532046","display_name":"Kian Ming Lim","orcid":"https://orcid.org/0000-0003-1929-7978"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Kian Ming Lim","raw_affiliation_strings":["Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-1929-7978","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086127398"],"corresponding_institution_ids":["https://openalex.org/I173029219"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":7.8143,"has_fulltext":true,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98307187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"9","issue":"3","first_page":"56","last_page":"56"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9645000100135803,"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":0.9629999995231628,"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/computer-science","display_name":"Computer science","score":0.7889668941497803},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7722122669219971},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7564213275909424},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7222663164138794},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6780611276626587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5945317149162292},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5703285336494446},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5683009028434753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44802388548851013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.406226247549057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3294970989227295},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3231639862060547},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.25683674216270447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889668941497803},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7722122669219971},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7564213275909424},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7222663164138794},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6780611276626587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945317149162292},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5703285336494446},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5683009028434753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44802388548851013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.406226247549057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3294970989227295},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3231639862060547},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25683674216270447},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/informatics9030056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics9030056","pdf_url":"https://www.mdpi.com/2227-9709/9/3/56/pdf?version=1659274861","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"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":"Informatics","raw_type":"journal-article"},{"id":"pmh:oai:shdl.mmu.edu.my:10608","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196753","display_name":"Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173029219","host_organization_name":"Multimedia University","host_organization_lineage":["https://openalex.org/I173029219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"pmh:oai:doaj.org/article:30eedff157db414fa6817b9967d243a2","is_oa":true,"landing_page_url":"https://doaj.org/article/30eedff157db414fa6817b9967d243a2","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":"Informatics, Vol 9, Iss 3, p 56 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2227-9709/9/3/56/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/informatics9030056","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":"Informatics; Volume 9; Issue 3; Pages: 56","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/informatics9030056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics9030056","pdf_url":"https://www.mdpi.com/2227-9709/9/3/56/pdf?version=1659274861","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"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":"Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2310347874","display_name":null,"funder_award_id":"MMUI/220021","funder_id":"https://openalex.org/F4320313202","funder_display_name":"Multimedia University"},{"id":"https://openalex.org/G4344533779","display_name":null,"funder_award_id":"FRGS/1/2021/ICT02/MMU/02/4","funder_id":"https://openalex.org/F4320313202","funder_display_name":"Multimedia University"},{"id":"https://openalex.org/G7735222215","display_name":null,"funder_award_id":"MMUI/220021","funder_id":"https://openalex.org/F4320321709","funder_display_name":"Ministry of Higher Education, Malaysia"},{"id":"https://openalex.org/G928522197","display_name":null,"funder_award_id":"FRGS/1/2021/ICT02/MMU/02/4","funder_id":"https://openalex.org/F4320321709","funder_display_name":"Ministry of Higher Education, Malaysia"}],"funders":[{"id":"https://openalex.org/F4320313202","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33"},{"id":"https://openalex.org/F4320321709","display_name":"Ministry of Higher Education, Malaysia","ror":"https://ror.org/05mcs2t73"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289172806.pdf","grobid_xml":"https://content.openalex.org/works/W4289172806.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W176323845","https://openalex.org/W1998433273","https://openalex.org/W2012557818","https://openalex.org/W2134524950","https://openalex.org/W2270470215","https://openalex.org/W2510575683","https://openalex.org/W2522625724","https://openalex.org/W2550797816","https://openalex.org/W2605751614","https://openalex.org/W2759690896","https://openalex.org/W2767979715","https://openalex.org/W2803675191","https://openalex.org/W2808332967","https://openalex.org/W2898186212","https://openalex.org/W2963993350","https://openalex.org/W2964686114","https://openalex.org/W2970993639","https://openalex.org/W2972118594","https://openalex.org/W2979631643","https://openalex.org/W2988019621","https://openalex.org/W2998094553","https://openalex.org/W3005644473","https://openalex.org/W3017361427","https://openalex.org/W3046291026","https://openalex.org/W3083367988","https://openalex.org/W3084255915","https://openalex.org/W3099025572","https://openalex.org/W3100261076","https://openalex.org/W3103272945","https://openalex.org/W3108647877","https://openalex.org/W3123101662","https://openalex.org/W3132457161","https://openalex.org/W3177183117","https://openalex.org/W3208077519","https://openalex.org/W3210766530","https://openalex.org/W4210881053"],"related_works":["https://openalex.org/W2706752825","https://openalex.org/W2117913171","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W2582769230"],"abstract_inverted_index":{"It":[0],"is":[1,102],"undeniable":[2],"that":[3,65,87,150],"mobile":[4],"devices":[5],"have":[6,66],"become":[7],"an":[8],"inseparable":[9],"part":[10],"of":[11,20,36,38,50,77,162],"human\u2019s":[12],"daily":[13],"routines":[14],"due":[15],"to":[16,70],"the":[17,33,45,54,116,120,131,137,141,151,155,165,170,177],"persistent":[18],"growth":[19],"high-quality":[21],"sensor":[22,121],"devices,":[23],"powerful":[24],"computational":[25],"resources":[26],"and":[27,47,174],"massive":[28],"storage":[29],"capacity":[30],"nowadays.":[31],"Similarly,":[32],"fast":[34],"development":[35],"Internet":[37],"Things":[39],"technology":[40],"has":[41],"motivated":[42],"people":[43],"into":[44,125],"research":[46],"wide":[48],"applications":[49],"sensors,":[51],"such":[52],"as":[53],"human":[55,72,107],"activity":[56,108],"recognition":[57,160],"system.":[58],"This":[59],"results":[60],"in":[61,119,140],"substantial":[62],"existing":[63,156],"works":[64],"utilized":[67],"wearable":[68,105],"sensors":[69],"identify":[71],"activities":[73],"with":[74,94,158],"a":[75,82,89,95,159],"variety":[76],"techniques.":[78],"In":[79],"this":[80],"paper,":[81],"hybrid":[83],"deep":[84],"learning":[85],"model":[86,101],"amalgamates":[88],"one-dimensional":[90,111],"Convolutional":[91,112],"Neural":[92,113],"Network":[93,114],"bidirectional":[96,132],"long":[97,133],"short-term":[98,134],"memory":[99,135],"(1D-CNN-BiLSTM)":[100],"proposed":[103,152],"for":[104],"sensor-based":[106],"recognition.":[109],"The":[110,146],"transforms":[115],"prominent":[117],"information":[118],"time":[122],"series":[123],"data":[124],"high":[126],"level":[127],"representative":[128],"features.":[129],"Thereafter,":[130],"encodes":[136],"long-range":[138],"dependencies":[139],"features":[142],"by":[143],"gating":[144],"mechanisms.":[145],"performance":[147],"evaluation":[148],"reveals":[149],"1D-CNN-BiLSTM":[153],"outshines":[154],"methods":[157],"rate":[161],"95.48%":[163],"on":[164,169,176],"UCI-HAR":[166],"dataset,":[167],"94.17%":[168],"Motion":[171],"Sense":[172],"dataset":[173],"100%":[175],"Single":[178],"Accelerometer":[179],"dataset.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-26T13:28:51.108037","created_date":"2022-08-01T00:00:00"}
