{"id":"https://openalex.org/W3082430017","doi":"https://doi.org/10.1109/embc44109.2020.9175896","title":"Data Mining and Fusion of Unobtrusive Sensing Solutions for Indoor Activity Recognition","display_name":"Data Mining and Fusion of Unobtrusive Sensing Solutions for Indoor Activity Recognition","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082430017","doi":"https://doi.org/10.1109/embc44109.2020.9175896","mag":"3082430017","pmid":"https://pubmed.ncbi.nlm.nih.gov/33019193"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9175896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.manchester.ac.uk/portal/en/publications/data-mining-and-fusion-of-unobtrusive-sensing-solutions-for-indoor-activity-recognition(97db2386-c427-4ca5-ab82-b638b0fc6bd6).html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057430295","display_name":"Idongesit Ekerete","orcid":"https://orcid.org/0000-0003-4072-7178"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Idongesit F. Ekerete","raw_affiliation_strings":["School of Computing, Ulster University, Northern Ireland, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Northern Ireland, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002575060","display_name":"Mat\u00edas Garc\u00eda-Constantino","orcid":"https://orcid.org/0000-0002-3420-0532"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. Garcia-Constantino","raw_affiliation_strings":["School of Computing, Ulster University, Northern Ireland, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Northern Ireland, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044216496","display_name":"Yohanca Diaz","orcid":null},"institutions":[{"id":"https://openalex.org/I94876832","display_name":"Dundalk Institute of Technology","ror":"https://ror.org/01800zd49","country_code":"IE","type":"education","lineage":["https://openalex.org/I94876832"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Yohanca Diaz","raw_affiliation_strings":["Dundalk Institute of Technology, Dundalk Institute of Technology, Rep. of Ireland"],"affiliations":[{"raw_affiliation_string":"Dundalk Institute of Technology, Dundalk Institute of Technology, Rep. of Ireland","institution_ids":["https://openalex.org/I94876832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009104446","display_name":"Oonagh M. Giggins","orcid":"https://orcid.org/0000-0001-7748-5446"},"institutions":[{"id":"https://openalex.org/I94876832","display_name":"Dundalk Institute of Technology","ror":"https://ror.org/01800zd49","country_code":"IE","type":"education","lineage":["https://openalex.org/I94876832"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Oonagh M. Giggins","raw_affiliation_strings":["Dundalk Institute of Technology, Dundalk Institute of Technology, Rep. of Ireland"],"affiliations":[{"raw_affiliation_string":"Dundalk Institute of Technology, Dundalk Institute of Technology, Rep. of Ireland","institution_ids":["https://openalex.org/I94876832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074423181","display_name":"Mustafa Mustafa","orcid":"https://orcid.org/0000-0002-8772-8023"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. A. Mustafa","raw_affiliation_strings":["Department of Computer Science, The University of Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035650459","display_name":"Alexandros Konios","orcid":"https://orcid.org/0000-0001-5281-1911"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexandras Konios","raw_affiliation_strings":["School of Computing, Electronics and Mathematics, Coventry University Coventry, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Electronics and Mathematics, Coventry University Coventry, United Kingdom","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051564895","display_name":"Pierre Pouliet","orcid":null},"institutions":[{"id":"https://openalex.org/I65806277","display_name":"Universit\u00e9 de Limoges","ror":"https://ror.org/02cp04407","country_code":"FR","type":"education","lineage":["https://openalex.org/I65806277"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Pouliet","raw_affiliation_strings":["Universit\u00e9 de Limoges, Limoges, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Limoges, Limoges, France","institution_ids":["https://openalex.org/I65806277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021247547","display_name":"Chris Nugent","orcid":"https://orcid.org/0000-0003-0882-7902"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chris D. Nugent","raw_affiliation_strings":["School of Computing, Ulster University, Northern Ireland, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Northern Ireland, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045151799","display_name":"James McLaughlin","orcid":"https://orcid.org/0000-0001-6026-8971"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jim McLaughlin","raw_affiliation_strings":["NIBEC, Ulster University, Northern Ireland, United Kingdom"],"affiliations":[{"raw_affiliation_string":"NIBEC, Ulster University, Northern Ireland, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5057430295"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.2944,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57028479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"5357","last_page":"5361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9715999960899353,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.7842906713485718},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6365092992782593},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6354977488517761},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6264980435371399},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6164128184318542},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5465613603591919},{"id":"https://openalex.org/keywords/ceiling","display_name":"Ceiling (cloud)","score":0.459867924451828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43868446350097656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3638492822647095},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.28113415837287903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21624597907066345},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1413353681564331}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.7842906713485718},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6365092992782593},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6354977488517761},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6264980435371399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164128184318542},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5465613603591919},{"id":"https://openalex.org/C2777489069","wikidata":"https://www.wikidata.org/wiki/Q1589822","display_name":"Ceiling (cloud)","level":2,"score":0.459867924451828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43868446350097656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3638492822647095},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28113415837287903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21624597907066345},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1413353681564331},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018907","descriptor_name":"Privacy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1109/embc44109.2020.9175896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33019193","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33019193","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/97db2386-c427-4ca5-ab82-b638b0fc6bd6","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.research.manchester.ac.uk/portal/en/publications/data-mining-and-fusion-of-unobtrusive-sensing-solutions-for-indoor-activity-recognition(97db2386-c427-4ca5-ab82-b638b0fc6bd6).html","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.atira.dk:publications/97db2386-c427-4ca5-ab82-b638b0fc6bd6","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/97db2386-c427-4ca5-ab82-b638b0fc6bd6","pdf_url":"https://www.research.manchester.ac.uk/portal/en/publications/data-mining-and-fusion-of-unobtrusive-sensing-solutions-for-indoor-activity-recognition(97db2386-c427-4ca5-ab82-b638b0fc6bd6).html","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ekerete, I F, Garcia-constantino, M, Diaz, Y, Giggins, O M, Mustafa, M A, Konios, A, Pouliet, P, Nugent, C D & Mclaughlin, J 2020, Data Mining and Fusion of Unobtrusive Sensing Solutions for Indoor Activity Recognition. in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). pp. 5357-5361, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society, 20/07/20. https://doi.org/10.1109/EMBC44109.2020.9175896","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/679183","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/679183/2/article-3288.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"42nd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Montreal, CANADA, 20-24 July 2020","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/97db2386-c427-4ca5-ab82-b638b0fc6bd6","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.research.manchester.ac.uk/portal/en/publications/data-mining-and-fusion-of-unobtrusive-sensing-solutions-for-indoor-activity-recognition(97db2386-c427-4ca5-ab82-b638b0fc6bd6).html","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337753","display_name":"Interreg","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3082430017.pdf","grobid_xml":"https://content.openalex.org/works/W3082430017.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1504417640","https://openalex.org/W1550111146","https://openalex.org/W1971130285","https://openalex.org/W1974344651","https://openalex.org/W1999966855","https://openalex.org/W2013582641","https://openalex.org/W2096653237","https://openalex.org/W2097575504","https://openalex.org/W2118626516","https://openalex.org/W2118630306","https://openalex.org/W2296193698","https://openalex.org/W2466337456","https://openalex.org/W2805289810","https://openalex.org/W2853971004","https://openalex.org/W2911844262","https://openalex.org/W2941947410","https://openalex.org/W2969990995","https://openalex.org/W2999381182","https://openalex.org/W3014294420"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2009888974","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W2706752825","https://openalex.org/W2971659033","https://openalex.org/W1985927271"],"abstract_inverted_index":{"This":[0,97],"paper":[1],"proposes":[2],"the":[3,12,31,43,57,72,100,117,146,150,159,162,167,177,189,200,204,213,220,286],"fusion":[4],"of":[5,16,34,45,59,102,108,119,161,215,222,239,250,288],"data":[6,165,174,196,255],"from":[7,71,129,166,176],"unobtrusive":[8,276],"sensing":[9,105],"solutions":[10,106],"for":[11,50,192,241,254,280,285],"recognition":[13,231,282],"and":[14,25,36,47,95,148,218,232,244,266,283,293],"classification":[15,233],"activities":[17,27,52,118],"in":[18,30,39,138,158,291],"home":[19],"environments.":[20],"The":[21],"ability":[22],"to":[23,115],"recognize":[24,116],"classify":[26],"can":[28,67],"help":[29],"objective":[32],"monitoring":[33,51],"health":[35,292],"wellness":[37],"trends":[38,290],"ageing":[40],"adults.":[41],"While":[42],"use":[44,101],"video":[46],"stereo":[48],"cameras":[49],"provides":[53],"an":[54,235,247,275],"adequate":[55],"insight,":[56],"privacy":[58],"users":[60,66],"is":[61,76],"not":[62],"fully":[63],"protected":[64],"(i.e.,":[65,277],"easily":[68],"be":[69],"recognized":[70],"images).":[73],"Another":[74],"concern":[75],"that":[77],"widely":[78],"used":[79,184],"wearable":[80],"sensors,":[81],"such":[82,88,258],"as":[83,89,188,259],"accelerometers,":[84],"have":[85],"some":[86],"disadvantages,":[87],"limited":[90],"battery":[91],"life,":[92],"adoption":[93],"issues":[94],"wearability.":[96],"study":[98,120,273],"investigates":[99],"low-cost":[103],"thermal":[104,111,125,135,169,179],"capable":[107],"generating":[109],"distinct":[110],"blobs":[112,126],"with":[113,133,173,234],"timestamps":[114],"participants.":[121],"More":[122],"than":[123],"11,000":[124],"were":[127,171,183],"recorded":[128],"10":[130],"healthy":[131],"participants":[132],"two":[134],"sensors":[136,182],"placed":[137],"a":[139,154],"laboratory":[140],"kitchen:":[141],"(i)":[142,203],"one":[143],"mounted":[144],"on":[145,153,269],"ceiling,":[147],"(ii)":[149,212],"other":[151],"positioned":[152],"mini":[155],"tripod":[156],"stand":[157],"corner":[160],"room.":[163],"Furthermore,":[164],"ceiling":[168],"sensor":[170],"fused":[172],"gleaned":[175],"lateral":[178],"sensor.":[180],"Contact":[181],"at":[185,206],"each":[186,208,223],"stage":[187],"gold":[190],"standard":[191],"timestamp":[193],"approximation":[194],"during":[195],"acquisition,":[197],"which":[198,207],"allowed":[199],"attainment":[201],"of:":[202],"time":[205],"activity":[209,216,230,281],"took":[210],"place,":[211],"type":[214],"performed,":[217],"(iii)":[219],"location":[221],"participant.":[224],"Experimental":[225],"results":[226],"demonstrated":[227],"successful":[228],"cluster-based":[229],"average":[236,248],"regression":[237],"co-efficient":[238],"0.95":[240],"tested":[242],"clusters":[243],"features.":[245],"Also,":[246],"accuracy":[249],"95%":[251],"was":[252],"obtained":[253],"mining":[256],"models":[257],"k-nearest":[260],"neighbor,":[261],"logistic":[262],"regression,":[263],"neural":[264],"network":[265],"random":[267],"forest":[268],"Evaluation":[270],"Test.Clinical":[271],"Relevance-This":[272],"presents":[274],"privacy-friendly)":[278],"solution":[279],"classification,":[284],"purposes":[287],"profiling":[289],"wellbeing.":[294]},"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
