{"id":"https://openalex.org/W2005917392","doi":"https://doi.org/10.1145/2676467.2676479","title":"Context recognition in a smart home","display_name":"Context recognition in a smart home","publication_year":2014,"publication_date":"2014-11-04","ids":{"openalex":"https://openalex.org/W2005917392","doi":"https://doi.org/10.1145/2676467.2676479","mag":"2005917392"},"language":"en","primary_location":{"id":"doi:10.1145/2676467.2676479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2676467.2676479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Academic MindTrek Conference: Media Business, Management, Content & Services","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061678662","display_name":"Antti-Matti Vainio","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Antti-Matti Vainio","raw_affiliation_strings":["Tampere University of Technology, Tampere Finland","Tampere University of Technology , Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047276258","display_name":"Harri Pensas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Harri Pensas","raw_affiliation_strings":["Tampere University of Technology, Tampere Finland","Tampere University of Technology , Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009336755","display_name":"Jukka Vanhala","orcid":"https://orcid.org/0000-0003-1259-0952"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka Vanhala","raw_affiliation_strings":["Tampere University of Technology, Tampere Finland","Tampere University of Technology , Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061678662"],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07718104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"170"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/computer-science","display_name":"Computer science","score":0.6900312304496765},{"id":"https://openalex.org/keywords/thriving","display_name":"Thriving","score":0.6423251032829285},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6257490515708923},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5856467485427856},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.5536702871322632},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5426024794578552},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5314174294471741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4668259024620056},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4498346745967865},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4265690743923187},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41238895058631897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3894907534122467},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11387205123901367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900312304496765},{"id":"https://openalex.org/C2776745293","wikidata":"https://www.wikidata.org/wiki/Q7798302","display_name":"Thriving","level":2,"score":0.6423251032829285},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6257490515708923},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5856467485427856},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.5536702871322632},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5426024794578552},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5314174294471741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4668259024620056},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4498346745967865},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4265690743923187},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41238895058631897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3894907534122467},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11387205123901367},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2676467.2676479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2676467.2676479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Academic MindTrek Conference: Media Business, Management, Content & Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W349770100","https://openalex.org/W1497385253","https://openalex.org/W1630550163","https://openalex.org/W1985461986","https://openalex.org/W2021361613","https://openalex.org/W2044693322","https://openalex.org/W2097403258","https://openalex.org/W2133462743","https://openalex.org/W2165416818","https://openalex.org/W2999812538","https://openalex.org/W3023187687","https://openalex.org/W6611762666","https://openalex.org/W6679653975"],"related_works":["https://openalex.org/W3110653194","https://openalex.org/W2165054589","https://openalex.org/W1964821925","https://openalex.org/W3209322685","https://openalex.org/W2316932825","https://openalex.org/W3003171896","https://openalex.org/W2980701909","https://openalex.org/W2059102265","https://openalex.org/W2474529778","https://openalex.org/W2777846208"],"abstract_inverted_index":{"Smart":[0],"environments":[1],"have":[2],"emerged":[3],"as":[4],"a":[5,28,35,62,68,104],"thriving":[6],"field":[7],"of":[8,15,19,70,110],"research.":[9,22],"Understanding":[10],"user's":[11],"context":[12,111],"is":[13,91],"one":[14],"the":[16,42,71,77,100],"core":[17],"areas":[18],"smart":[20,29],"home":[21,30],"In":[23],"this":[24,46],"study":[25,101],"we":[26],"present":[27],"living":[31],"experiment":[32],"in":[33,41,61,98],"which":[34],"test":[36],"subject":[37],"lived":[38],"two":[39],"weeks":[40],"EleHome":[43],"lab.":[44],"During":[45],"time":[47],"sensor":[48],"data":[49],"was":[50],"gathered":[51,78],"along":[52],"with":[53],"annotation":[54],"data.":[55,79],"We":[56],"used":[57],"na\u00efve":[58],"Bayes":[59],"classifier":[60],"supervised":[63],"learning":[64],"setting":[65],"to":[66,75],"recognize":[67],"few":[69],"basic":[72],"contexts":[73],"and":[74],"validate":[76],"The":[80],"first":[81],"results":[82],"were":[83],"good":[84,105],"for":[85,93,107],"simpler":[86],"contexts,":[87],"but":[88],"further":[89,108],"analysis":[90],"needed":[92],"more":[94],"complex":[95],"activities.":[96],"All":[97],"all":[99],"gives":[102],"us":[103],"baseline":[106],"development":[109],"recognition":[112],"methods.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}