{"id":"https://openalex.org/W4285189276","doi":"https://doi.org/10.1109/thms.2022.3176213","title":"Predicting Activities of Daily Living for the Coming Time Period in Smart Homes","display_name":"Predicting Activities of Daily Living for the Coming Time Period in Smart Homes","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4285189276","doi":"https://doi.org/10.1109/thms.2022.3176213"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2022.3176213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3176213","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-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/A5100391726","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-7283-8652"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Wang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361574","display_name":"Jianbo Li","orcid":"https://orcid.org/0000-0001-8756-7007"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianbo Li","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414133","display_name":"Ying Li","orcid":"https://orcid.org/0000-0002-0835-7368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038147670","display_name":"Xueshi Dong","orcid":"https://orcid.org/0000-0002-3859-5957"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xueshi Dong","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100391726"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0062,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76613865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"53","issue":"1","first_page":"228","last_page":"238"},"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":0.991100013256073,"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":0.9846000075340271,"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/computer-science","display_name":"Computer science","score":0.6608631014823914},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.5879188179969788},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.5626466274261475},{"id":"https://openalex.org/keywords/smart-environment","display_name":"Smart environment","score":0.5183326005935669},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5005478858947754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46884429454803467},{"id":"https://openalex.org/keywords/period","display_name":"Period (music)","score":0.4352644979953766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43037086725234985},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.42868319153785706},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.42698296904563904},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12491926550865173},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.10522523522377014},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10379844903945923},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08702874183654785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6608631014823914},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.5879188179969788},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.5626466274261475},{"id":"https://openalex.org/C152223200","wikidata":"https://www.wikidata.org/wiki/Q3055471","display_name":"Smart environment","level":3,"score":0.5183326005935669},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5005478858947754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46884429454803467},{"id":"https://openalex.org/C2781291010","wikidata":"https://www.wikidata.org/wiki/Q178580","display_name":"Period (music)","level":2,"score":0.4352644979953766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43037086725234985},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.42868319153785706},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.42698296904563904},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12491926550865173},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.10522523522377014},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10379844903945923},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08702874183654785},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2022.3176213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3176213","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G419476219","display_name":null,"funder_award_id":"2018M642613","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5117920675","display_name":null,"funder_award_id":"61802216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G737252784","display_name":null,"funder_award_id":"ZR2020MF060","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W122260415","https://openalex.org/W1969307352","https://openalex.org/W1978860163","https://openalex.org/W1984764344","https://openalex.org/W2006318999","https://openalex.org/W2032729268","https://openalex.org/W2034281151","https://openalex.org/W2059732136","https://openalex.org/W2086385378","https://openalex.org/W2114315281","https://openalex.org/W2507653100","https://openalex.org/W2515822248","https://openalex.org/W2525214876","https://openalex.org/W2535791639","https://openalex.org/W2549963349","https://openalex.org/W2561426974","https://openalex.org/W2582293461","https://openalex.org/W2586286271","https://openalex.org/W2588627057","https://openalex.org/W2611753362","https://openalex.org/W2749329215","https://openalex.org/W2755946900","https://openalex.org/W2784125077","https://openalex.org/W2791124061","https://openalex.org/W2811312112","https://openalex.org/W2854846946","https://openalex.org/W2886354130","https://openalex.org/W2897146526","https://openalex.org/W2904278689","https://openalex.org/W2908501829","https://openalex.org/W2952668792","https://openalex.org/W2964303615","https://openalex.org/W2968941183","https://openalex.org/W2973039847","https://openalex.org/W2980701909","https://openalex.org/W2982857584","https://openalex.org/W3002916757","https://openalex.org/W3014065096","https://openalex.org/W3093279390","https://openalex.org/W3120740533","https://openalex.org/W3141797743","https://openalex.org/W3157951969","https://openalex.org/W3164845984","https://openalex.org/W3185905653","https://openalex.org/W6631190155","https://openalex.org/W6688089029","https://openalex.org/W6766978945","https://openalex.org/W6794508734"],"related_works":["https://openalex.org/W3003171896","https://openalex.org/W2980701909","https://openalex.org/W2059102265","https://openalex.org/W4312127264","https://openalex.org/W2474529778","https://openalex.org/W2903440013","https://openalex.org/W4306734797","https://openalex.org/W187587118","https://openalex.org/W2896129225","https://openalex.org/W2293376603"],"abstract_inverted_index":{"Activity":[0],"prediction":[1,37,77,103,176],"aims":[2],"to":[3,15,106,155,204],"predict":[4],"what":[5,84],"activities":[6,85,120,135],"will":[7,86,146],"occur":[8,87,168],"in":[9,59,88,121,173],"the":[10,17,21,33,47,55,70,89,107,110,114,117,151,170,175,195,212,215,221,230],"future.":[11],"In":[12,186],"smart":[13,61,111,122,152],"homes,":[14],"facilitate":[16],"daily":[18],"living":[19],"of":[20,35,46,75,93,99,102,109,116,133,194,211,232],"residents,":[22],"automated":[23,158],"or":[24,159],"assistive":[25,160],"services":[26],"are":[27],"provided.":[28],"To":[29],"provide":[30],"these":[31],"services,":[32],"ability":[34],"activity":[36,76,166],"is":[38,104,177,181],"necessary.":[39],"When":[40],"we":[41,189,198],"make":[42],"a":[43,60,94,182,192,200],"prediction,":[44,134],"most":[45],"existing":[48],"works":[49],"focus":[50],"on":[51,226],"predicting":[52,67,83],"information":[53,68],"about":[54,69],"next":[56,71],"activity.":[57],"However,":[58],"home":[62,153],"environment,":[63],"compared":[64],"with":[65],"just":[66],"activity,":[72],"another":[73],"type":[74,101,132],"problem":[78,180],"has":[79],"more":[80,163],"practical":[81],"value:":[82],"coming":[90],"time":[91,126,140,149,171],"period":[92,172],"certain":[95],"length.":[96],"The":[97,207],"necessity":[98],"this":[100,131,179,187],"due":[105],"purpose":[108],"homes":[112,123],"and":[113,144,220],"character":[115],"activities.":[118],"Many":[119],"need":[124],"preparation":[125],"before":[127,141],"being":[128,142],"performed.":[129],"Through":[130],"could":[136,167],"be":[137,147],"predicted":[138],"sufficient":[139],"performed,":[143],"there":[145],"adequate":[148],"for":[150],"system":[154],"prepare":[156],"corresponding":[157],"services.":[161],"As":[162],"than":[164],"one":[165],"within":[169],"which":[174],"made,":[178],"multilabel":[183,222],"classification":[184],"problem.":[185,196],"article,":[188],"first":[190],"give":[191],"formulation":[193],"Then,":[197],"propose":[199],"deep":[201],"learning":[202],"model":[203,209],"address":[205],"it.":[206],"proposed":[208],"consists":[210],"convolutional":[213],"part,":[214],"long":[216],"short-term":[217],"memory":[218],"layer,":[219],"output":[223],"layer.":[224],"Experiments":[225],"real-world":[227],"datasets":[228],"show":[229],"effectiveness":[231],"our":[233],"model.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
