{"id":"https://openalex.org/W4226247552","doi":"https://doi.org/10.1109/access.2022.3157726","title":"Activities Recognition, Anomaly Detection and Next Activity Prediction Based on Neural Networks in Smart Homes","display_name":"Activities Recognition, Anomaly Detection and Next Activity Prediction Based on Neural Networks in Smart Homes","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226247552","doi":"https://doi.org/10.1109/access.2022.3157726"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3157726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3157726","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09729817.pdf","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://ieeexplore.ieee.org/ielx7/6287639/9668973/09729817.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017269041","display_name":"Khaled A. Alaghbari","orcid":"https://orcid.org/0000-0002-1983-1694"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Khaled A. Alaghbari","raw_affiliation_strings":["Institute of IR4.0, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-1983-1694","affiliations":[{"raw_affiliation_string":"Institute of IR4.0, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101582049","display_name":"Mohamad Hanif Md Saad","orcid":"https://orcid.org/0000-0002-1587-964X"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohamad Hanif Md. Saad","raw_affiliation_strings":["Institute of IR4.0, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia","Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-1587-964X","affiliations":[{"raw_affiliation_string":"Institute of IR4.0, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019902685","display_name":"Aini Hussain","orcid":"https://orcid.org/0000-0001-7347-7879"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Aini Hussain","raw_affiliation_strings":["Department of Electrical, Electronic and System, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-7347-7879","affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and System, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049680175","display_name":"Muhammad Raisul Alam","orcid":"https://orcid.org/0000-0002-5213-636X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["CA","FR","MY"],"is_corresponding":false,"raw_author_name":"Muhammad Raisul Alam","raw_affiliation_strings":["Institute of IR4.0, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia","Occupational Therapy, University of Toronto, Toronto, ON, Canada","Department of Computer Science, Department of Occupational Science &#x0026"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of IR4.0, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Occupational Therapy, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Computer Science, Department of Occupational Science &#x0026","institution_ids":["https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.9751,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96444129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"28219","last_page":"28232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9742000102996826,"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/T11977","display_name":"Technology Use by Older Adults","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.907349705696106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7769384384155273},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7154726982116699},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6585654616355896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6415929794311523},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5479353666305542},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5323818922042847},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5258926749229431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4784829020500183},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.44599416851997375},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.43343526124954224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4250858724117279}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.907349705696106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7769384384155273},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7154726982116699},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6585654616355896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6415929794311523},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5479353666305542},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5323818922042847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5258926749229431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4784829020500183},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.44599416851997375},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.43343526124954224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4250858724117279},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3157726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3157726","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09729817.pdf","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:8fcc7ebd87ef443ca55cca577ffdb8eb","is_oa":true,"landing_page_url":"https://doaj.org/article/8fcc7ebd87ef443ca55cca577ffdb8eb","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":"IEEE Access, Vol 10, Pp 28219-28232 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3157726","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3157726","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09729817.pdf","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":[],"awards":[{"id":"https://openalex.org/G8651919542","display_name":null,"funder_award_id":"DIP-2020-021","funder_id":"https://openalex.org/F4320322699","funder_display_name":"Universiti Kebangsaan Malaysia"}],"funders":[{"id":"https://openalex.org/F4320322699","display_name":"Universiti Kebangsaan Malaysia","ror":"https://ror.org/00bw8d226"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226247552.pdf","grobid_xml":"https://content.openalex.org/works/W4226247552.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1599494361","https://openalex.org/W1638512605","https://openalex.org/W1644997609","https://openalex.org/W1968818596","https://openalex.org/W1969307352","https://openalex.org/W1995551339","https://openalex.org/W2015200434","https://openalex.org/W2021361613","https://openalex.org/W2046512114","https://openalex.org/W2064675550","https://openalex.org/W2066307075","https://openalex.org/W2109553965","https://openalex.org/W2122962290","https://openalex.org/W2128332586","https://openalex.org/W2132217926","https://openalex.org/W2153151166","https://openalex.org/W2599145771","https://openalex.org/W2734548032","https://openalex.org/W2853146682","https://openalex.org/W2895495973","https://openalex.org/W2903800102","https://openalex.org/W2906139367","https://openalex.org/W2914884512","https://openalex.org/W2964412014","https://openalex.org/W2964613865","https://openalex.org/W2967386683","https://openalex.org/W3041018394","https://openalex.org/W3099616155","https://openalex.org/W3153872861","https://openalex.org/W3183926262","https://openalex.org/W3194188314","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W4363671829","https://openalex.org/W2780476542","https://openalex.org/W4391094981","https://openalex.org/W2912153778","https://openalex.org/W4288108708","https://openalex.org/W4387163678","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186"],"abstract_inverted_index":{"In":[0,66],"this":[1],"paper,":[2],"we":[3,77,154],"propose":[4,155],"a":[5,44,101,121,132],"unified":[6,170],"deep":[7,102],"learning":[8],"model":[9],"for":[10,50],"monitoring":[11],"elderly":[12],"in":[13,74],"execution":[14],"of":[15,30,80,124,167],"daily":[16],"life":[17],"activities":[18,59,126],"such":[19],"as":[20],"eating,":[21],"sleeping":[22],"or":[23],"taking":[24],"medication.":[25],"The":[26,165],"proposed":[27,169],"approach":[28,171],"consists":[29],"three":[31],"stages":[32,69,147],"which":[33],"are":[34,70],"activity":[35,41,91,151],"recognition,":[36],"anomaly":[37],"detection":[38],"and":[39,54,60,63,129,189],"next":[40,87,141,192],"prediction.":[42],"Such":[43],"system":[45],"can":[46],"provide":[47],"useful":[48],"information":[49],"the":[51,86,115,140,144,150,168,191],"elderly,":[52],"caregivers":[53],"medical":[55],"teams":[56],"to":[57,83,113,138,156,180,184],"identify":[58],"generate":[61],"preventive":[62],"corrective":[64],"measures.":[65],"literature,":[67],"these":[68],"discussed":[71],"separately,":[72],"however,":[73],"our":[75],"approach,":[76],"make":[78],"use":[79],"each":[81],"stage":[82],"progress":[84],"into":[85],"stage.":[88],"At":[89],"first,":[90],"recognition":[92,152],"based":[93],"on":[94,149,175],"different":[95,162],"extracted":[96,163],"features":[97],"is":[98,111,127],"performed":[99],"using":[100],"neural":[103],"network":[104],"(DNN),":[105],"then":[106],"an":[107],"overcomplete-deep":[108],"autoencoder":[109],"(OCD-AE)":[110],"employed":[112],"separate":[114],"normal":[116],"from":[117],"anomalous":[118],"activities.":[119],"Finally,":[120],"cleaned":[122],"sequence":[123],"consecutive":[125],"constructed":[128],"used":[130],"by":[131,160],"long":[133],"short-term":[134],"memory":[135],"(LSTM)":[136],"algorithm":[137],"predict":[139,190],"activity.":[142,193],"Since":[143],"last":[145],"two":[146],"depend":[148],"stage,":[153],"increase":[157],"its":[158,182],"accuracy":[159],"exploiting":[161],"features.":[164],"performance":[166],"has":[172],"been":[173],"evaluated":[174],"real":[176],"smart":[177],"home":[178],"datasets":[179],"demonstrate":[181],"ability":[183],"recognize":[185],"activities,":[186],"detect":[187],"anomalies":[188]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}