{"id":"https://openalex.org/W2126840288","doi":"https://doi.org/10.1109/icassp.2004.1326659","title":"Office presence detection using multimodal context information","display_name":"Office presence detection using multimodal context information","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2126840288","doi":"https://doi.org/10.1109/icassp.2004.1326659","mag":"2126840288"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5101909869","display_name":"Xiao Huang","orcid":"https://orcid.org/0000-0002-5670-028X"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Huang","raw_affiliation_strings":["Computer Science Department, Michigan State University, East Lansing, MI, USA","Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102851268","display_name":"Juyang Weng","orcid":"https://orcid.org/0000-0003-1383-3872"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juyang Weng","raw_affiliation_strings":["Computer Science Department, Michigan State University, East Lansing, MI, USA","Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111877493","display_name":"Zhengyou Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Zhengyou Zhang","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","Microsoft , USA "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft , USA ","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"iii","last_page":"773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9991999864578247,"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":0.9991999864578247,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8602561354637146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.793167769908905},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6331028342247009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5458505749702454},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4561319947242737},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4143868386745453},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39099302887916565},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38898470997810364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36156904697418213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3277183175086975}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8602561354637146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793167769908905},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6331028342247009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458505749702454},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4561319947242737},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4143868386745453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39099302887916565},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38898470997810364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36156904697418213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3277183175086975},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2004.1326659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.120.7155","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.7155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/srg/papers/2004-zhang-icasspb.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.145.7946","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.7946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/~zhang/MultimodalPresenceDetection/ICASSP04-OfficePresence.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1493163583","https://openalex.org/W1910567995","https://openalex.org/W1984133383","https://openalex.org/W1991366868","https://openalex.org/W2034997783","https://openalex.org/W2084406642","https://openalex.org/W2125838338","https://openalex.org/W2134067070","https://openalex.org/W2152239535","https://openalex.org/W6659445182"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W3184123547","https://openalex.org/W2160030256","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W2488941600"],"abstract_inverted_index":{"An":[0,34],"office":[1],"presence":[2],"detection":[3],"system":[4,95],"is":[5,12,41],"presented.":[6],"Context":[7],"information":[8],"from":[9,50],"multi-sensory":[10],"inputs":[11],"integrated":[13],"to":[14,27,43,59,68,85],"infer":[15],"a":[16,24,55],"user's":[17],"activities":[18,30],"in":[19],"an":[20],"office.":[21],"We":[22],"design":[23],"layered":[25],"architecture":[26],"model":[28],"human":[29,70,87],"with":[31,54],"different":[32],"granularities.":[33],"IHDR":[35],"(incremental":[36],"hierarchical":[37],"discriminant":[38],"regression)":[39],"tree":[40],"used":[42],"generate":[44],"models":[45,64],"automatically":[46],"for":[47],"acoustic":[48],"signals":[49],"unsegmented":[51],"auditory":[52],"streams,":[53],"high":[56],"adaptive":[57],"capability":[58],"new":[60],"settings.":[61],"Hidden":[62],"Markov":[63],"(HMM)":[65],"are":[66,80,96],"implemented":[67],"detect":[69],"motion":[71],"patterns.":[72],"The":[73],"outputs":[74],"of":[75,91],"the":[76,92],"above":[77],"two":[78],"components":[79],"fed":[81],"into":[82],"high-level":[83],"HMMs":[84],"analyze":[86],"activities.":[88],"Experimental":[89],"results":[90],"real-time":[93],"prototype":[94],"reported.":[97]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
