{"id":"https://openalex.org/W3197693316","doi":"https://doi.org/10.1007/s40747-021-00508-5","title":"Intelligent system for human activity recognition in IoT environment","display_name":"Intelligent system for human activity recognition in IoT environment","publication_year":2021,"publication_date":"2021-09-07","ids":{"openalex":"https://openalex.org/W3197693316","doi":"https://doi.org/10.1007/s40747-021-00508-5","mag":"3197693316","pmid":"https://pubmed.ncbi.nlm.nih.gov/34777979"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-021-00508-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00508-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00508-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00508-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110269021","display_name":"Hassan Khaled","orcid":null},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hassan Khaled","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039501216","display_name":"Osama Abu-Elnasr","orcid":"https://orcid.org/0000-0001-7369-8188"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Osama Abu-Elnasr","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080087070","display_name":"Samir Elmougy","orcid":"https://orcid.org/0000-0002-0765-5355"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Samir Elmougy","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057171369","display_name":"A. S. Tolba","orcid":"https://orcid.org/0009-0001-5800-0287"},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"A. S. Tolba","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039501216"],"corresponding_institution_ids":["https://openalex.org/I159247623"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.8408,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87551464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"9","issue":"4","first_page":"3535","last_page":"3546"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9919000267982483,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9433000087738037,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6335475444793701},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5992382764816284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5832170248031616},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5621903538703918},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5588445663452148},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.556665301322937},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.552840530872345},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5505530834197998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4846518635749817},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4442499577999115},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.44090861082077026},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.42122605443000793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4194229245185852},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33039820194244385},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1840226948261261},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0869286060333252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6335475444793701},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5992382764816284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5832170248031616},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5621903538703918},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5588445663452148},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.556665301322937},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.552840530872345},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5505530834197998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4846518635749817},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4442499577999115},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.44090861082077026},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.42122605443000793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4194229245185852},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33039820194244385},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1840226948261261},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0869286060333252},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s40747-021-00508-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00508-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00508-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmid:34777979","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34777979","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":"Complex & intelligent systems","raw_type":null},{"id":"pmh:oai:doaj.org/article:eeda89c543d746fd81ec40782f7e1cfe","is_oa":true,"landing_page_url":"https://doaj.org/article/eeda89c543d746fd81ec40782f7e1cfe","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 4, Pp 3535-3546 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8422064","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8422064","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":"Complex Intell Systems","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s40747-021-00508-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00508-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00508-5.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197693316.pdf","grobid_xml":"https://content.openalex.org/works/W3197693316.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W14070459","https://openalex.org/W172260869","https://openalex.org/W175634338","https://openalex.org/W1857382374","https://openalex.org/W1968670561","https://openalex.org/W2017634428","https://openalex.org/W2056183152","https://openalex.org/W2195342085","https://openalex.org/W2247209766","https://openalex.org/W2304267454","https://openalex.org/W2396780844","https://openalex.org/W2495920728","https://openalex.org/W2506510257","https://openalex.org/W2507376018","https://openalex.org/W2759690896","https://openalex.org/W2767979715","https://openalex.org/W2780361664","https://openalex.org/W2888728157","https://openalex.org/W2891625001","https://openalex.org/W2929050222","https://openalex.org/W2942392951","https://openalex.org/W2948204427","https://openalex.org/W2954709787","https://openalex.org/W2963703618","https://openalex.org/W2967031846","https://openalex.org/W2990949296","https://openalex.org/W2998094553","https://openalex.org/W3009395916","https://openalex.org/W3011785450","https://openalex.org/W3015014633","https://openalex.org/W3035142875","https://openalex.org/W3041947868","https://openalex.org/W3043363778","https://openalex.org/W3049536025","https://openalex.org/W3084792696","https://openalex.org/W3086906017","https://openalex.org/W3089563032","https://openalex.org/W3104096625","https://openalex.org/W3112478316","https://openalex.org/W3117290666","https://openalex.org/W3122290193","https://openalex.org/W3126697167","https://openalex.org/W3127124714","https://openalex.org/W3128348732","https://openalex.org/W3133590696","https://openalex.org/W3134949458","https://openalex.org/W3136077883","https://openalex.org/W3137273279","https://openalex.org/W3157930087","https://openalex.org/W3159182882","https://openalex.org/W3160417254","https://openalex.org/W3160595428","https://openalex.org/W3173502608","https://openalex.org/W3186928351"],"related_works":["https://openalex.org/W2358294942","https://openalex.org/W4367460280","https://openalex.org/W4387490204","https://openalex.org/W4386414453","https://openalex.org/W4388937883","https://openalex.org/W4389848424","https://openalex.org/W4293205612","https://openalex.org/W4352976590","https://openalex.org/W4385349203","https://openalex.org/W4297839701"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,15,77,82,86,92,97,126],"adoption":[4],"of":[5,18,39,51,85,96,107,110,113,117],"machine":[6],"learning":[7],"has":[8],"grown":[9],"steadily":[10],"in":[11,31],"different":[12],"fields":[13],"affecting":[14],"day-to-day":[16],"decisions":[17],"individuals.":[19],"This":[20,47],"paper":[21],"presents":[22],"an":[23,105],"intelligent":[24],"system":[25],"for":[26],"recognizing":[27],"human's":[28],"daily":[29],"activities":[30],"a":[32],"complex":[33],"IoT":[34],"environment.":[35],"An":[36],"enhanced":[37,102],"model":[38,49],"capsule":[40,55],"neural":[41],"network":[42],"called":[43],"1D-HARCapsNe":[44],"is":[45,65],"proposed.":[46],"proposed":[48,98],"consists":[50],"convolution":[52],"layer,":[53,56],"primary":[54],"activity":[57],"capsules":[58],"flat":[59],"layer":[60],"and":[61,74,94,115,135],"output":[62],"layer.":[63],"It":[64],"validated":[66],"using":[67,76],"WISDM":[68],"dataset":[69],"collected":[70],"via":[71],"smart":[72],"devices":[73],"normalized":[75],"random-SMOTE":[78],"algorithm":[79],"to":[80,125],"handle":[81],"imbalanced":[83],"behavior":[84],"dataset.":[87],"The":[88],"experimental":[89],"results":[90],"indicate":[91],"potential":[93],"strengths":[95],"1D-HARCapsNet":[99],"that":[100],"achieved":[101],"performance":[103,122],"with":[104],"accuracy":[106],"98.67%,":[108,114],"precision":[109,131],"98.66%,":[111],"recall":[112,133],"F1-measure":[116,136],"0.987":[118],"which":[119],"shows":[120],"major":[121],"enhancement":[123],"compared":[124],"Conventional":[127],"CapsNet":[128],"(accuracy":[129],"90.11%,":[130],"91.88%,":[132],"89.94%,":[134],"0.93).":[137]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
