{"id":"https://openalex.org/W4410770590","doi":"https://doi.org/10.1109/access.2025.3573439","title":"A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization","display_name":"A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410770590","doi":"https://doi.org/10.1109/access.2025.3573439"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3573439","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3573439","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3573439","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068523263","display_name":"Mehrab Rafiq","orcid":null},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Mehrab Rafiq","raw_affiliation_strings":["Department of Computer Science, Air University, E-9, Islamabad, Pakistan","Department of Computing and AI, Air University, E-9, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Air University, E-9, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]},{"raw_affiliation_string":"Department of Computing and AI, Air University, E-9, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056765948","display_name":"Naif S. Alshammari","orcid":null},"institutions":[{"id":"https://openalex.org/I195631090","display_name":"Majmaah University","ror":"https://ror.org/01mcrnj60","country_code":"SA","type":"education","lineage":["https://openalex.org/I195631090"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Naif S. Alshammari","raw_affiliation_strings":["Department of Computer Sciences, College of Computer and Information Sciences, Majmaah University, Majmaah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, College of Computer and Information Sciences, Majmaah University, Majmaah, Saudi Arabia","institution_ids":["https://openalex.org/I195631090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016186796","display_name":"Haifa F. Alhasson","orcid":"https://orcid.org/0000-0002-6503-2826"},"institutions":[{"id":"https://openalex.org/I156216236","display_name":"Qassim University","ror":"https://ror.org/01wsfe280","country_code":"SA","type":"education","lineage":["https://openalex.org/I156216236"]},{"id":"https://openalex.org/I4210092650","display_name":"Buraydah Colleges","ror":"https://ror.org/00j0krs40","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210092650"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Haifa F. Alhasson","raw_affiliation_strings":["Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia","institution_ids":["https://openalex.org/I4210092650","https://openalex.org/I156216236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068139357","display_name":"Dina Abdulaziz AlHammadi","orcid":"https://orcid.org/0000-0002-2680-8206"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Dina Abdulaziz Alhammadi","raw_affiliation_strings":["Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia","Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]},{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108136510","display_name":"Mohammed Alshehri","orcid":"https://orcid.org/0009-0004-4955-0625"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]},{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK","SA"],"is_corresponding":false,"raw_author_name":"Mohammed Alshehri","raw_affiliation_strings":["Department of Computer Science, Air University, E-9, Islamabad, Pakistan","Department of Computer Science, King Khalid University, Abha, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Air University, E-9, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]},{"raw_affiliation_string":"Department of Computer Science, King Khalid University, Abha, Saudi Arabia","institution_ids":["https://openalex.org/I82952536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897714","display_name":"Ahmad Jalal","orcid":"https://orcid.org/0009-0000-8421-8477"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]},{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["DE","PK"],"is_corresponding":false,"raw_author_name":"Ahmad Jalal","raw_affiliation_strings":["Cognitive Systems Lab, University of Bremen, Bremen, Germany","Department of Computing and AI, Air University, E-9, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Cognitive Systems Lab, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Department of Computing and AI, Air University, E-9, Islamabad, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021403424","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0002-6850-9570"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Cognitive Systems Lab, University of Bremen, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"Cognitive Systems Lab, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5068523263"],"corresponding_institution_ids":["https://openalex.org/I899713450"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":16.5225,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.99244271,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"118695","last_page":"118705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9936000108718872,"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":0.9936000108718872,"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":0.9786999821662903,"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":0.977400004863739,"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/computer-science","display_name":"Computer science","score":0.5919793844223022},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4343598484992981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3658561706542969},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3508172333240509},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1497878134250641}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919793844223022},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4343598484992981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3658561706542969},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3508172333240509},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1497878134250641}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3573439","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3573439","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ca4d3a0115fa445b8ce5d5a6226faebe","is_oa":true,"landing_page_url":"https://doaj.org/article/ca4d3a0115fa445b8ce5d5a6226faebe","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 118695-118705 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3573439","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3573439","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1538323930","https://openalex.org/W2156866340","https://openalex.org/W2317064518","https://openalex.org/W2740234477","https://openalex.org/W2783920628","https://openalex.org/W2789868604","https://openalex.org/W2792152588","https://openalex.org/W2800412969","https://openalex.org/W2909218472","https://openalex.org/W2918704254","https://openalex.org/W2921586637","https://openalex.org/W2991034715","https://openalex.org/W3000304787","https://openalex.org/W3011099399","https://openalex.org/W3011691446","https://openalex.org/W3075034951","https://openalex.org/W3096233155","https://openalex.org/W3110658132","https://openalex.org/W3123171544","https://openalex.org/W3129521401","https://openalex.org/W3135247034","https://openalex.org/W3183127766","https://openalex.org/W3202774651","https://openalex.org/W4224224675","https://openalex.org/W4225319149","https://openalex.org/W4229048566","https://openalex.org/W4296099006","https://openalex.org/W4304811509","https://openalex.org/W4308422404","https://openalex.org/W4309166619","https://openalex.org/W4309880407","https://openalex.org/W4310596280","https://openalex.org/W4311153863","https://openalex.org/W4312732298","https://openalex.org/W4360584281","https://openalex.org/W4361856134","https://openalex.org/W4362605308","https://openalex.org/W4376274976","https://openalex.org/W4376607526","https://openalex.org/W4379115412","https://openalex.org/W4382139000","https://openalex.org/W4400946967","https://openalex.org/W6946040378"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"The":[0,262,306],"green":[1],"research":[2],"field":[3],"of":[4,22,48,74,99,134,270,292,312],"ubiquitous":[5,31,325],"computing":[6,32,326],"has":[7],"been":[8,27,67],"able":[9],"to":[10,69,85,107,141],"draw":[11],"and":[12,20,39,56,64,80,87,95,101,116,150,162,174,190,224,238,252,276,296,303,318],"hold":[13],"academics\u2019":[14],"interest":[15],"for":[16,130,171,188,205,227,249,259,323],"a":[17,131,168,181,193,253],"while.":[18],"Recognition":[19],"localization":[21,175,304],"human":[23,59,89,172],"locomotion":[24,60,90,173],"have":[25,66,104],"also":[26],"widely":[28],"developed":[29],"as":[30,52],"applications.":[33,327],"Personal":[34],"safety,":[35],"behavior":[36],"analysis,":[37],"entertainment,":[38],"healthcare":[40],"monitoring":[41],"all":[42],"utilize":[43],"these":[44],"apps.A":[45],"key":[46],"component":[47],"several":[49,283],"fields,":[50],"such":[51],"robots,":[53],"sports,":[54],"healthcare,":[55],"security,":[57],"is":[58],"recognition":[61,302],"(HLR).":[62],"Researchers":[63],"engineers":[65],"trying":[68],"use":[70],"the":[71,163,178,207,273,279,290,293,310,313],"increasing":[72],"popularity":[73],"wearable":[75,102],"technology,":[76],"especially":[77],"environmental":[78],"sensors":[79,113,125],"Inertial":[81,112],"Measurement":[82],"Units":[83],"(IMUs),":[84],"identify":[86],"categorize":[88],"activities":[91,317],"in":[92,109,122,300],"an":[93,266],"accurate":[94],"efficient":[96],"manner.The":[97],"capabilities":[98],"smartphones":[100],"technology":[103],"increased":[105],"due":[106],"advancements":[108],"sensing":[110],"technology.":[111],"like":[114],"gyroscopes":[115],"accelerometers":[117],"are":[118],"now":[119,127],"frequently":[120],"seen":[121],"smartphones.":[123],"These":[124,287],"can":[126],"be":[128],"utilized":[129,258],"wide":[132],"range":[133],"purposes,":[135],"while":[136,192],"their":[137],"original":[138],"purpose":[139],"was":[140,186,196,200,247,257],"improve":[142],"gadget":[143],"features.":[144],"Using":[145],"smartphone":[146],"IMU,":[147],"ambient,":[148],"GPS,":[149],"audio":[151],"sensor":[152],"data":[153],"from":[154],"two":[155,203],"publicly":[156],"available":[157],"benchmark":[158],"datasets\u2014the":[159],"Extrasensory":[160,274],"dataset":[161,275],"Domino":[164,280],"dataset\u2014this":[165],"study":[166],"proposes":[167],"sophisticated":[169],"approach":[170],"detection.":[176],"In":[177],"preprocessing":[179,294],"stage,":[180],"Chebyshev":[182],"Type":[183],"2":[184],"filter":[185],"used":[187],"windowing":[189],"segmentation,":[191],"Hamming":[194],"window":[195],"applied.":[197],"Feature":[198,231],"extraction":[199],"divided":[201],"into":[202],"parts:":[204],"actions,":[206],"extracted":[208],"features":[209],"included":[210],"Fast":[211],"Fourier":[212],"Transform":[213],"(FFT),":[214],"State":[215],"Space":[216],"Correlation":[217],"Entropy":[218],"(SSCE),":[219],"Maximum":[220],"Lyapunov":[221],"Exponent":[222],"(MLE),":[223],"Auto":[225],"Regression;":[226],"localization-based":[228],"features,":[229],"Recursive":[230],"Elimination":[232],"(RFE),":[233],"step":[234,239],"count,":[235],"heading":[236],"angle,":[237],"length":[240],"were":[241],"employed.":[242],"Kernel":[243],"Fisher":[244],"Discriminant":[245],"Analysis":[246],"applied":[248],"feature":[250,260,297],"optimization,":[251],"deep":[254],"neural":[255],"network":[256],"classification.":[261],"proposed":[263],"system":[264,314],"achieved":[265],"overall":[267],"classification":[268],"accuracy":[269],"88.4%":[271],"on":[272,278],"86.4%":[277],"dataset,":[281],"outperforming":[282],"existing":[284],"state-of-the-art":[285],"methods.":[286],"results":[288],"highlight":[289],"effectiveness":[291],"pipeline":[295],"optimization":[298],"techniques":[299],"enhancing":[301],"performance.":[305],"experimental":[307],"evaluation":[308],"confirms":[309],"robustness":[311],"across":[315],"diverse":[316],"environments,":[319],"making":[320],"it":[321],"suitable":[322],"real-world":[324]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}