{"id":"https://openalex.org/W2023678123","doi":"https://doi.org/10.1145/2554850.2554877","title":"Online learning with mobile sensor data for user recognition","display_name":"Online learning with mobile sensor data for user recognition","publication_year":2014,"publication_date":"2014-03-24","ids":{"openalex":"https://openalex.org/W2023678123","doi":"https://doi.org/10.1145/2554850.2554877","mag":"2023678123"},"language":"en","primary_location":{"id":"doi:10.1145/2554850.2554877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554850.2554877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","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/A5035787125","display_name":"Haiguang Li","orcid":"https://orcid.org/0009-0004-6141-8993"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haiguang Li","raw_affiliation_strings":["University of Vermont, Burlington, VT","University of Vermont, Burlington VT#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Vermont, Burlington, VT","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"University of Vermont, Burlington VT#TAB#","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["University of Vermont, Burlington, VT","University of Vermont, Burlington VT#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Vermont, Burlington, VT","institution_ids":["https://openalex.org/I111236770"]},{"raw_affiliation_string":"University of Vermont, Burlington VT#TAB#","institution_ids":["https://openalex.org/I111236770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032277491","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0002-5056-0351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["TCL Research America, San Jose, CA","TCL Research America, San Jose, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"TCL Research America, San Jose, CA","institution_ids":[]},{"raw_affiliation_string":"TCL Research America, San Jose, CA#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035787125"],"corresponding_institution_ids":["https://openalex.org/I111236770"],"apc_list":null,"apc_paid":null,"fwci":1.636,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8703192,"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":"64","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965999722480774,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8062030673027039},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6911253333091736},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6880612373352051},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5803478360176086},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.4906212389469147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4803130030632019},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4668866693973541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43832096457481384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39849352836608887},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3500034213066101},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0989549458026886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062030673027039},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6911253333091736},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6880612373352051},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5803478360176086},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.4906212389469147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4803130030632019},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4668866693973541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43832096457481384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39849352836608887},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3500034213066101},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0989549458026886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2554850.2554877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2554850.2554877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","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":19,"referenced_works":["https://openalex.org/W157879897","https://openalex.org/W178169250","https://openalex.org/W1912123407","https://openalex.org/W1966280301","https://openalex.org/W2017634428","https://openalex.org/W2033540425","https://openalex.org/W2042224064","https://openalex.org/W2052300809","https://openalex.org/W2053532441","https://openalex.org/W2069113523","https://openalex.org/W2098763115","https://openalex.org/W2107500316","https://openalex.org/W2118978333","https://openalex.org/W2119821739","https://openalex.org/W2137100320","https://openalex.org/W2147169507","https://openalex.org/W2304137666","https://openalex.org/W2911964244","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4389449520","https://openalex.org/W1965676450","https://openalex.org/W2205964444","https://openalex.org/W4224062203","https://openalex.org/W4281572076","https://openalex.org/W2172283861","https://openalex.org/W4205208899","https://openalex.org/W2487681796","https://openalex.org/W2469699777","https://openalex.org/W59475286"],"abstract_inverted_index":{"Currently,":[0],"mobile":[1],"devices":[2],"built":[3],"with":[4,123],"powerful":[5],"embedded":[6],"sensors":[7],"create":[8],"new":[9,58],"opportunities":[10],"for":[11,82],"data":[12,31,52,65,81,125],"mining":[13],"applications":[14],"such":[15],"as":[16],"monitoring":[17],"user":[18,26],"activity.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,100],"target":[24],"at":[25],"recognition":[27,38,105],"based":[28],"on":[29,88],"sensor":[30,51,64,80,113],"of":[32,47,112,147],"remote":[33],"control,":[34],"in":[35,45,145],"which":[36,71,89],"activity":[37,104],"determines":[39],"a":[40],"user's":[41],"action":[42],"that":[43,138],"is":[44,66,72,85],"favor":[46],"collecting":[48],"one's":[49],"individual":[50],"to":[53,74,121],"identify":[54],"different":[55],"users.":[56],"This":[57],"problem":[59],"faces":[60],"two":[61],"challenges:":[62],"first,":[63],"sensitive":[67],"and":[68,115,134],"constantly":[69],"changing":[70],"difficult":[73],"obtain":[75],"meaningful":[76],"features;":[77],"second,":[78],"streaming":[79],"online":[83,118,133],"learning":[84],"usually":[86],"imbalanced":[87,124],"traditional":[90],"classifiers":[91],"are":[92],"not":[93],"well":[94],"performed.":[95],"To":[96],"address":[97],"these":[98],"challenges,":[99],"introduce":[101],"an":[102,117],"efficient":[103],"algorithm":[106],"by":[107,127],"exploring":[108],"the":[109],"physical":[110],"appearance":[111],"data,":[114],"then":[116],"incremental":[119],"classifier":[120],"deal":[122],"streams":[126],"adaptively":[128],"generating":[129],"training":[130],"data.":[131],"Extensive":[132],"offline":[135],"experiments":[136],"demonstrate":[137],"our":[139],"proposed":[140],"method":[141],"outperforms":[142],"state-of-the-art":[143],"algorithms":[144],"terms":[146],"accuracy.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}