{"id":"https://openalex.org/W2125462511","doi":"https://doi.org/10.1145/1409635.1409641","title":"Improving the recognition of interleaved activities","display_name":"Improving the recognition of interleaved activities","publication_year":2008,"publication_date":"2008-09-21","ids":{"openalex":"https://openalex.org/W2125462511","doi":"https://doi.org/10.1145/1409635.1409641","mag":"2125462511"},"language":"en","primary_location":{"id":"doi:10.1145/1409635.1409641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1409635.1409641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th international conference on Ubiquitous computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054065284","display_name":"Joseph Modayil","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Modayil","raw_affiliation_strings":["University of Rochester, Rochester, NY","University of Rochester; Rochester, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"University of Rochester; Rochester, NY","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109351823","display_name":"Tongxin Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tongxin Bai","raw_affiliation_strings":["University of Rochester, Rochester, NY","University of Rochester; Rochester, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"University of Rochester; Rochester, NY","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105508446","display_name":"Henry Kautz","orcid":"https://orcid.org/0000-0001-5219-2970"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Kautz","raw_affiliation_strings":["University of Rochester, Rochester, NY","University of Rochester; Rochester, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY","institution_ids":["https://openalex.org/I5388228"]},{"raw_affiliation_string":"University of Rochester; Rochester, NY","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":7.5691,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.98206723,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"43"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7812137603759766},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.730707049369812},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47205811738967896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4689720869064331},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.44796353578567505},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4443274140357971},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.44117990136146545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4307737350463867},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.42523109912872314},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41515862941741943},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41046202182769775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3408397138118744},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3388960659503937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11194118857383728},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08478179574012756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812137603759766},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.730707049369812},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47205811738967896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4689720869064331},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.44796353578567505},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4443274140357971},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.44117990136146545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4307737350463867},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.42523109912872314},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41515862941741943},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41046202182769775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3408397138118744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3388960659503937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11194118857383728},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08478179574012756}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1409635.1409641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1409635.1409641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th international conference on Ubiquitous computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.2922","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.2922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.rochester.edu/~kautz/papers/ubicomp175-modayil.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4894156717","display_name":null,"funder_award_id":"07SB2-0196","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G7915916311","display_name":"Learning High-level Models of Human Behavior from Low-level Sensor Data","funder_award_id":"0734843","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8368983915","display_name":null,"funder_award_id":"C020010","funder_id":"https://openalex.org/F4320308078","funder_display_name":"New York State Foundation for Science, Technology and Innovation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308078","display_name":"New York State Foundation for Science, Technology and Innovation","ror":"https://ror.org/024qczd07"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W94200858","https://openalex.org/W1606626619","https://openalex.org/W1928061009","https://openalex.org/W1978640248","https://openalex.org/W1999167988","https://openalex.org/W2003637680","https://openalex.org/W2102716594","https://openalex.org/W2122591640","https://openalex.org/W2125838338","https://openalex.org/W2130266733","https://openalex.org/W2150338977","https://openalex.org/W2155983176","https://openalex.org/W2161029186","https://openalex.org/W4243034134","https://openalex.org/W6603855062"],"related_works":["https://openalex.org/W103069296","https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W4245698648","https://openalex.org/W2405257913","https://openalex.org/W3133710586","https://openalex.org/W2125964738","https://openalex.org/W2098529290","https://openalex.org/W2026402306","https://openalex.org/W2194396582"],"abstract_inverted_index":{"We":[0],"introduce":[1],"Interleaved":[2],"Hidden":[3],"Markov":[4],"Models":[5],"for":[6,52],"recognizing":[7],"multitasked":[8],"activities.":[9],"The":[10,48],"model":[11],"captures":[12],"both":[13,31],"inter-activity":[14],"and":[15,33],"intra-activity":[16],"dynamics.":[17],"Although":[18],"the":[19,39],"state":[20],"space":[21],"is":[22,30,50],"intractably":[23],"large,":[24],"we":[25],"describe":[26],"an":[27],"approximation":[28],"that":[29],"effective":[32],"efficient.":[34],"This":[35],"method":[36],"significantly":[37],"reduces":[38],"error":[40],"rate":[41],"when":[42],"compared":[43],"with":[44],"previously":[45],"proposed":[46],"methods.":[47],"algorithm":[49],"suitable":[51],"mobile":[53],"platforms":[54],"where":[55],"computational":[56],"resources":[57],"may":[58],"be":[59],"limited.":[60]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":10}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}