{"id":"https://openalex.org/W3003569717","doi":"https://doi.org/10.1109/indin41052.2019.8972016","title":"A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features","display_name":"A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3003569717","doi":"https://doi.org/10.1109/indin41052.2019.8972016","mag":"3003569717"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","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/A5028934658","display_name":"Wenjing Yuan","orcid":"https://orcid.org/0000-0002-5111-8514"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjing Yuan","raw_affiliation_strings":["Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102946364","display_name":"Jingjing Cao","orcid":"https://orcid.org/0000-0002-3483-6100"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Cao","raw_affiliation_strings":["Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084505643","display_name":"Zeyi Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyi Jin","raw_affiliation_strings":["Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676785","display_name":"Fei Xia","orcid":"https://orcid.org/0000-0003-4343-1444"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xia","raw_affiliation_strings":["Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Logistics Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114377922","display_name":"Ran Wang","orcid":"https://orcid.org/0000-0002-2586-5604"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Wang","raw_affiliation_strings":["Shenzhen University,College of Mathematics and Statistics,Shenzhen,China","College of Mathematics and Statistics, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,College of Mathematics and Statistics,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Mathematics and Statistics, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028934658"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66894018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1453","last_page":"1458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9814000129699707,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9739000201225281,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7534133195877075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7295107245445251},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5414976477622986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48765575885772705},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44294238090515137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4263792037963867},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.412162721157074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4046400189399719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34425806999206543}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7534133195877075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295107245445251},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5414976477622986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48765575885772705},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44294238090515137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4263792037963867},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.412162721157074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4046400189399719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34425806999206543},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin41052.2019.8972016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","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":28,"referenced_works":["https://openalex.org/W976483486","https://openalex.org/W1483679765","https://openalex.org/W1524416683","https://openalex.org/W1526362251","https://openalex.org/W1900978674","https://openalex.org/W1911393754","https://openalex.org/W1969307352","https://openalex.org/W1978860163","https://openalex.org/W1984764344","https://openalex.org/W2004099281","https://openalex.org/W2031767704","https://openalex.org/W2064853889","https://openalex.org/W2114315281","https://openalex.org/W2146189565","https://openalex.org/W2156935079","https://openalex.org/W2157783866","https://openalex.org/W2162543538","https://openalex.org/W2166559705","https://openalex.org/W2559776840","https://openalex.org/W2586286271","https://openalex.org/W2888789276","https://openalex.org/W2905478790","https://openalex.org/W2963038743","https://openalex.org/W2998574808","https://openalex.org/W4239830733","https://openalex.org/W4252403066","https://openalex.org/W6628973722","https://openalex.org/W6683637988"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2761510556","https://openalex.org/W2892259437","https://openalex.org/W2944566775","https://openalex.org/W2131801795","https://openalex.org/W2166927590"],"abstract_inverted_index":{"Activity":[0],"recognition":[1,63],"is":[2,24,72,157],"one":[3,26,38],"of":[4,112,132],"the":[5,29,66,89,94,145,150],"most":[6,14],"important":[7],"supporting":[8],"technologies":[9],"for":[10,60],"smart-home":[11],"applications,":[12],"and":[13,108,144],"existing":[15],"works":[16],"conducted":[17],"on":[18,65,93,139],"this":[19,55,81],"topic":[20],"assume":[21],"that":[22,149],"there":[23,33],"only":[25],"resident":[27,39],"in":[28,42,128],"smart":[30],"home.":[31],"However,":[32],"are":[34,122],"often":[35],"more":[36,48],"than":[37,159],"at":[40],"home":[41],"reality,":[43],"which":[44],"makes":[45],"it":[46],"ever":[47],"challenging":[49],"to":[50,124],"recognize":[51,125],"their":[52],"activities.":[53],"In":[54],"work,":[56],"a":[57,129,140],"knowledge-driven":[58],"approach":[59,100,152],"multi-resident":[61,141],"activity":[62,86,142],"based":[64,77],"features":[67,103,111,156,164],"constructed":[68],"by":[69],"frequent":[70,109,154,162],"itemset":[71,110,155,163],"proposed.":[73],"Unlike":[74],"traditional":[75],"single-label":[76],"methods,":[78],"we":[79,135],"address":[80],"problem":[82],"as":[83],"learning":[84],"multiple":[85],"labels":[87],"from":[88,105],"sensor-data":[90],"sequence.":[91],"Based":[92],"binary":[95],"ambient":[96],"sensor":[97,107],"data,":[98],"our":[99],"utilizes":[101],"both":[102],"generated":[104],"single":[106],"each":[113],"class,":[114],"i.e.":[115],"activity.":[116],"After":[117],"that,":[118],"five":[119],"multi-label":[120],"approaches":[121],"applied":[123],"different":[126],"activities":[127],"short":[130],"period":[131],"time.":[133],"Finally,":[134],"conduct":[136],"several":[137],"experiments":[138],"dataset,":[143],"experimental":[146],"result":[147],"demonstrates":[148],"proposed":[151],"with":[153],"better":[158],"those":[160],"without":[161],"added.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
