{"id":"https://openalex.org/W2336774800","doi":"https://doi.org/10.1109/percom.2016.7456524","title":"Active learning enabled activity recognition","display_name":"Active learning enabled activity recognition","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2336774800","doi":"https://doi.org/10.1109/percom.2016.7456524","mag":"2336774800"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2016.7456524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2016.7456524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mdsoar.org/bitstreams/9ebfa8e2-0558-413f-8dac-785f7433335a/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027555291","display_name":"H M Sajjad Hossain","orcid":"https://orcid.org/0000-0001-9847-6493"},"institutions":[{"id":"https://openalex.org/I6059380","display_name":"University of Baltimore","ror":"https://ror.org/024gw2733","country_code":"US","type":"education","lineage":["https://openalex.org/I6059380"]},{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H.M. Sajjad Hossain","raw_affiliation_strings":["Department of Information Systems, University of Maryland Baltimore, Baltimore, MD, US"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Maryland Baltimore, Baltimore, MD, US","institution_ids":["https://openalex.org/I6059380","https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068320631","display_name":"Nirmalya Roy","orcid":"https://orcid.org/0000-0003-4827-3393"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nirmalya Roy","raw_affiliation_strings":["Department of Information Systems, University of Maryland Baltimore County, Baltimore County, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Maryland Baltimore County, Baltimore County, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072696208","display_name":"Md Abdullah Al Hafiz Khan","orcid":"https://orcid.org/0000-0002-6180-1501"},"institutions":[{"id":"https://openalex.org/I6059380","display_name":"University of Baltimore","ror":"https://ror.org/024gw2733","country_code":"US","type":"education","lineage":["https://openalex.org/I6059380"]},{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Abdullah Al Hafiz Khan","raw_affiliation_strings":["Department of Information Systems, University of Maryland Baltimore, Baltimore, MD, US"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Maryland Baltimore, Baltimore, MD, US","institution_ids":["https://openalex.org/I6059380","https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027555291"],"corresponding_institution_ids":["https://openalex.org/I126744593","https://openalex.org/I6059380"],"apc_list":null,"apc_paid":null,"fwci":6.3462,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97828385,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9894999861717224,"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":0.8019775152206421},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7561894655227661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688054084777832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6764975786209106},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6365693211555481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.620510458946228},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6155738234519958},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49266988039016724},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.4884277880191803},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48825836181640625},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34857630729675293}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8019775152206421},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7561894655227661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688054084777832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6764975786209106},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6365693211555481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.620510458946228},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6155738234519958},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49266988039016724},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.4884277880191803},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48825836181640625},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34857630729675293},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/percom.2016.7456524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2016.7456524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:mdsoar.org:11603/11215","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/11215","pdf_url":"https://mdsoar.org/bitstreams/9ebfa8e2-0558-413f-8dac-785f7433335a/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2cj87p8b","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2cj87p8b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mdsoar.org:11603/11215","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/11215","pdf_url":"https://mdsoar.org/bitstreams/9ebfa8e2-0558-413f-8dac-785f7433335a/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309204","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2336774800.pdf"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W108416765","https://openalex.org/W175710976","https://openalex.org/W1507174385","https://openalex.org/W1514707997","https://openalex.org/W1542068205","https://openalex.org/W1593040460","https://openalex.org/W1971636757","https://openalex.org/W1978633512","https://openalex.org/W1984515777","https://openalex.org/W1987068050","https://openalex.org/W1987971958","https://openalex.org/W1993202648","https://openalex.org/W1995470018","https://openalex.org/W2004671724","https://openalex.org/W2010135967","https://openalex.org/W2016160677","https://openalex.org/W2019110265","https://openalex.org/W2032233621","https://openalex.org/W2042932437","https://openalex.org/W2044224802","https://openalex.org/W2047674303","https://openalex.org/W2050230532","https://openalex.org/W2056138823","https://openalex.org/W2056707879","https://openalex.org/W2067760738","https://openalex.org/W2088664555","https://openalex.org/W2105414191","https://openalex.org/W2106101173","https://openalex.org/W2114232233","https://openalex.org/W2115404432","https://openalex.org/W2117614111","https://openalex.org/W2118236796","https://openalex.org/W2125943921","https://openalex.org/W2133288557","https://openalex.org/W2138183512","https://openalex.org/W2140656735","https://openalex.org/W2144660879","https://openalex.org/W2151023586","https://openalex.org/W2154096410","https://openalex.org/W2167595980","https://openalex.org/W2171852577","https://openalex.org/W2181558882","https://openalex.org/W2185789379","https://openalex.org/W2188373600","https://openalex.org/W2516618844","https://openalex.org/W2610437288","https://openalex.org/W2903158431","https://openalex.org/W4230030242","https://openalex.org/W4243021946","https://openalex.org/W4285719527","https://openalex.org/W6607150754","https://openalex.org/W6630882758","https://openalex.org/W6632271312","https://openalex.org/W6675537110","https://openalex.org/W6685529966","https://openalex.org/W6687367213","https://openalex.org/W6736772599","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W2071210425","https://openalex.org/W3195649134","https://openalex.org/W2047973478","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W4310840813","https://openalex.org/W4200627986","https://openalex.org/W2103158077","https://openalex.org/W2989668789","https://openalex.org/W4312127264"],"abstract_inverted_index":{"Activity":[0],"recognition":[1,20,159,172],"in":[2,9,58,68,157],"smart":[3],"environment":[4],"has":[5],"been":[6],"investigated":[7],"rigorously":[8],"recent":[10],"years.":[11],"Researchers":[12],"are":[13],"enhancing":[14],"the":[15,37,79,104,149,196],"underlying":[16],"activity":[17,158,171],"discovery":[18],"and":[19,26,88,111,126,152,163,173],"process":[21],"by":[22],"adding":[23],"various":[24],"dimensions":[25],"functionalities.":[27],"But":[28],"one":[29],"significant":[30],"barrier":[31],"still":[32],"persists":[33],"which":[34],"is":[35,43,72,116],"collecting":[36],"ground":[38,109,153],"truth":[39,42,110,154],"information.":[40],"Ground":[41],"very":[44],"important":[45],"to":[46,54,89,107,130,143,147,169],"initialize":[47,90],"a":[48,55,69,73,84,95,119,132,175,190],"supervised":[49,70],"learning":[50,146,167,181],"of":[51,60,62,78,86,98,135,199],"activities.":[52],"Due":[53],"large":[56],"variety":[57],"number":[59],"Activities":[61],"Daily":[63],"Living":[64],"(ADLs),":[65],"acknowledging":[66],"them":[67],"way":[71],"non-trivial":[74],"research":[75],"problem.":[76],"Most":[77],"previous":[80],"researches":[81],"have":[82],"referenced":[83],"subset":[85],"ADLs":[87],"their":[91],"model,":[92],"they":[93],"acquire":[94],"vast":[96],"amount":[97,134],"informative":[99],"labeled":[100,136],"training":[101],"data.":[102,137],"On":[103],"other":[105],"hand":[106],"collect":[108,131],"differentiate":[112],"ADLs,":[113],"human":[114],"intervention":[115],"indispensable.":[117],"As":[118],"result":[120],"it":[121],"takes":[122],"an":[123],"immense":[124],"effort":[125,151],"raises":[127],"privacy":[128],"concerns":[129],"reasonable":[133],"In":[138],"this":[139],"paper,":[140],"we":[141],"propose":[142,174],"use":[144],"active":[145,166,180],"alleviate":[148],"labeling":[150],"data":[155,187],"collection":[156],"pipeline.":[160],"We":[161],"investigate":[162],"analyze":[164],"different":[165],"strategies":[168],"scale":[170],"dynamic":[176],"k-means":[177],"clustering":[178],"based":[179],"approach.":[182,201],"Experimental":[183],"results":[184],"on":[185],"real":[186],"traces":[188],"from":[189],"retirement":[191],"community-(IRB":[192],"#HP-00064387)":[193],"help":[194],"validate":[195],"early":[197],"promise":[198],"our":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}