{"id":"https://openalex.org/W2896105863","doi":"https://doi.org/10.3390/proceedings2191261","title":"A Domain Knowledge-Based Solution for Human Activity Recognition: The UJA Dataset Analysis","display_name":"A Domain Knowledge-Based Solution for Human Activity Recognition: The UJA Dataset Analysis","publication_year":2018,"publication_date":"2018-10-19","ids":{"openalex":"https://openalex.org/W2896105863","doi":"https://doi.org/10.3390/proceedings2191261","mag":"2896105863"},"language":"en","primary_location":{"id":"doi:10.3390/proceedings2191261","is_oa":true,"landing_page_url":"https://doi.org/10.3390/proceedings2191261","pdf_url":"https://www.mdpi.com/2504-3900/2/19/1261/pdf?version=1539921523","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"UCAmI 2018","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-3900/2/19/1261/pdf?version=1539921523","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022376791","display_name":"Niklas Karvonen","orcid":"https://orcid.org/0000-0002-8752-2375"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Niklas Karvonen","raw_affiliation_strings":["Lule\u00e5 University of Technology, Department of Computer Science, Electrical and Space Engineering, 971 87 Lule\u00e5, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-8752-2375","affiliations":[{"raw_affiliation_string":"Lule\u00e5 University of Technology, Department of Computer Science, Electrical and Space Engineering, 971 87 Lule\u00e5, Sweden","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065925392","display_name":"Denis Kleyko","orcid":"https://orcid.org/0000-0002-6032-6155"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Denis Kleyko","raw_affiliation_strings":["Lule\u00e5 University of Technology, Department of Computer Science, Electrical and Space Engineering, 971 87 Lule\u00e5, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lule\u00e5 University of Technology, Department of Computer Science, Electrical and Space Engineering, 971 87 Lule\u00e5, Sweden","institution_ids":["https://openalex.org/I190632392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022376791"],"corresponding_institution_ids":["https://openalex.org/I190632392"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67240233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1261","last_page":"1261"},"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":0.9905999898910522,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9746000170707703,"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/activity-recognition","display_name":"Activity recognition","score":0.7925098538398743},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.767219066619873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546443939208984},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.6019930243492126},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6015176773071289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5189575552940369},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4773316979408264},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.4720476567745209},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.45457547903060913},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.44560515880584717},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4352891147136688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42526930570602417},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.42192208766937256},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4130549132823944},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39674222469329834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10634157061576843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0763280987739563}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7925098538398743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.767219066619873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546443939208984},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.6019930243492126},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6015176773071289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5189575552940369},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4773316979408264},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.4720476567745209},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.45457547903060913},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.44560515880584717},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4352891147136688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42526930570602417},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.42192208766937256},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4130549132823944},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39674222469329834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10634157061576843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0763280987739563},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/proceedings2191261","is_oa":true,"landing_page_url":"https://doi.org/10.3390/proceedings2191261","pdf_url":"https://www.mdpi.com/2504-3900/2/19/1261/pdf?version=1539921523","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"UCAmI 2018","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:ltu-71071","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71071","pdf_url":null,"source":{"id":"https://openalex.org/S7407055297","display_name":"Epubl LTU","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:DiVA.org:oru-116033","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-116033","pdf_url":null,"source":{"id":"https://openalex.org/S4306400154","display_name":"\u00d6rebro University Library (\u00d6rebro University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I26437253","host_organization_name":"\u00d6rebro University","host_organization_lineage":["https://openalex.org/I26437253"],"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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:doaj.org/article:38372cfc72df4bac8276b71b583a7677","is_oa":true,"landing_page_url":"https://doaj.org/article/38372cfc72df4bac8276b71b583a7677","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":"Proceedings, Vol 2, Iss 19, p 1261 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-3900/2/19/1261/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/proceedings2191261","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":"Proceedings; Volume 2; Issue 19; Pages: 1261","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/proceedings2191261","is_oa":true,"landing_page_url":"https://doi.org/10.3390/proceedings2191261","pdf_url":"https://www.mdpi.com/2504-3900/2/19/1261/pdf?version=1539921523","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"UCAmI 2018","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5699999928474426,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2896105863.pdf","grobid_xml":"https://content.openalex.org/works/W2896105863.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1470425429","https://openalex.org/W1497385253","https://openalex.org/W1689711448","https://openalex.org/W1924211602","https://openalex.org/W1977664984","https://openalex.org/W2004099281","https://openalex.org/W2059732136","https://openalex.org/W2064675550","https://openalex.org/W2135090840","https://openalex.org/W2171865010","https://openalex.org/W2518582440"],"related_works":["https://openalex.org/W2071210425","https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W4200627986","https://openalex.org/W2980701909","https://openalex.org/W3003171896","https://openalex.org/W2989668789","https://openalex.org/W2059102265","https://openalex.org/W4312127264","https://openalex.org/W2474529778"],"abstract_inverted_index":{"Detecting":[0],"activities":[1,103],"of":[2,16,21,102,109,126,135,143,178],"daily":[3],"living":[4],"(ADL)":[5],"allows":[6],"for":[7,22,38,124,150],"rich":[8],"inference":[9,81],"about":[10],"user":[11],"behavior,":[12],"which":[13,173],"can":[14,167],"be":[15,161],"use":[17],"in":[18,43,67,76,91,104,156,170],"the":[19,44,68,80,83,88,100,113,165,181,186],"care":[20],"example,":[23],"elderly":[24],"people,":[25],"chronic":[26],"diseases,":[27],"and":[28,56,112,121],"psychological":[29],"conditions.":[30],"This":[31],"paper":[32],"proposes":[33],"a":[34,52,105,119,139,176],"domain":[35],"knowledge-based":[36],"solution":[37,48],"detecting":[39],"24":[40],"different":[41],"ADLs":[42],"UJA":[45],"dataset.":[46],"The":[47,85,94],"is":[49,70,97,116,183],"inspired":[50],"by":[51],"Finite":[53],"State":[54],"Machine":[55],"performs":[57,87],"activity":[58],"recognition":[59,90],"unobtrusively":[60],"using":[61,137],"only":[62,138],"binary":[63,110],"sensors.":[64,84],"Each":[65],"day":[66],"dataset":[69],"segmented":[71],"into:":[72],"morning,":[73],"day,":[74],"evening":[75],"order":[77],"to":[78,98,117,185],"facilitate":[79],"from":[82],"model":[86,131,166,182],"ADL":[89],"two":[92],"steps.":[93],"first":[95],"step":[96,115],"detect":[99],"sequence":[101],"given":[106],"event":[107],"stream":[108],"sensors,":[111],"second":[114],"assign":[118],"starting":[120],"ending":[122],"times":[123],"each":[125],"detected":[127],"activities.":[128],"Our":[129],"proposed":[130],"achieved":[132],"an":[133,147],"accuracy":[134],"81.3%":[136],"very":[140],"small":[141],"amount":[142],"operations,":[144],"making":[145],"it":[146],"interesting":[148],"approach":[149],"resource-constrained":[151],"devices":[152],"that":[153,164],"are":[154],"common":[155],"smart":[157],"environments.":[158],"It":[159],"should":[160],"noted,":[162],"however,":[163],"end":[168],"up":[169],"faulty":[171],"states":[172],"could":[174],"cause":[175],"series":[177],"mis-classifications":[179],"before":[180],"returned":[184],"true":[187],"state.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2018-10-26T00:00:00"}