{"id":"https://openalex.org/W2135242573","doi":"https://doi.org/10.1109/mfi.2001.1013520","title":"Using PCA and ICA for exploratory data analysis in situation awareness","display_name":"Using PCA and ICA for exploratory data analysis in situation awareness","publication_year":2002,"publication_date":"2002-11-14","ids":{"openalex":"https://openalex.org/W2135242573","doi":"https://doi.org/10.1109/mfi.2001.1013520","mag":"2135242573"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2001.1013520","doi":"https://doi.org/10.1109/mfi.2001.1013520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2001.1013520","pdf_url":null,"source":{"id":"https://openalex.org/S7407086610","display_name":"IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5024793945","display_name":"Johan Himberg","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"J. Himberg","raw_affiliation_strings":["Nokia Research Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Research Center","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031695371","display_name":"Jani M\u00e4ntyj\u00e4rvi","orcid":"https://orcid.org/0000-0001-8023-9641","observed_orcids":["https://orcid.org/0000-0001-8023-9641"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Mantyjarvi","raw_affiliation_strings":["Nokia Mobile Phones Limited"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Mobile Phones Limited","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033553941","display_name":"Panu Korpip\u00e4\u00e4","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"P. Korpipaa","raw_affiliation_strings":["Technical Research Centre of Finland (VTT), Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical Research Centre of Finland (VTT), Finland","institution_ids":["https://openalex.org/I87653560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8971,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94924317,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.3610999882221222,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.3610999882221222,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.23399999737739563,"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/T13141","display_name":"Statistical Methods and Applications","score":0.2087000012397766,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/situational-awareness","display_name":"situational awareness","score":0.9919999837875366},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.7300000190734863},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":1.0},{"id":"https://openalex.org/keywords/context-aware-computing","display_name":"context-aware computing","score":0.5830000042915344},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"sensor fusion","score":0.8289999961853027},{"id":"https://openalex.org/keywords/fuzzy-attributes","display_name":"fuzzy attributes","score":0.7570000290870667},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8180000185966492},{"id":"https://openalex.org/keywords/feature-visualization","display_name":"feature visualization","score":0.42100000381469727}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8801270723342896},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7604877948760986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6922162771224976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6173822283744812},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6080739498138428},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5701618790626526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5611703991889954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5394905209541321},{"id":"https://openalex.org/C97448799","wikidata":"https://www.wikidata.org/wiki/Q2845212","display_name":"Multiple correspondence analysis","level":2,"score":0.5051630139350891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4622696340084076},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4235537350177765},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.41106653213500977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19178563356399536},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2001.1013520","doi":"https://doi.org/10.1109/mfi.2001.1013520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2001.1013520","pdf_url":null,"source":{"id":"https://openalex.org/S7407086610","display_name":"IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1566248475","https://openalex.org/W1576835806","https://openalex.org/W1996355918","https://openalex.org/W2019502123","https://openalex.org/W2034256172","https://openalex.org/W2082861504","https://openalex.org/W2099741732","https://openalex.org/W2124776405","https://openalex.org/W2137304183","https://openalex.org/W2139896607","https://openalex.org/W2141224535","https://openalex.org/W2144204945","https://openalex.org/W2147618476","https://openalex.org/W2158199973","https://openalex.org/W2539114660","https://openalex.org/W2549144280","https://openalex.org/W2556902169","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4244906015","https://openalex.org/W4250801604","https://openalex.org/W4310638450"],"related_works":["https://openalex.org/W2098067062","https://openalex.org/W2390590424","https://openalex.org/W7100482085","https://openalex.org/W170398332","https://openalex.org/W2099741732","https://openalex.org/W2612555336","https://openalex.org/W2330086022","https://openalex.org/W2149224850","https://openalex.org/W7095435683","https://openalex.org/W2125895389"],"abstract_inverted_index":{"This":[0,116],"paper":[1],"presents":[2],"an":[3],"approach":[4],"for":[5,93],"analyzing":[6],"hand":[7],"held":[8],"device":[9],"usage":[10,105],"situation":[11,15,81,97,106],"(context)":[12],"phenomena.":[13],"The":[14,28,71],"information":[16,23,49,67],"under":[17],"examination":[18],"is":[19,30,43,58],"multidimensional":[20,47],"fuzzy":[21],"feature":[22,48],"derived":[24],"from":[25,103],"multisensor":[26],"measurements.":[27],"analysis":[29,35,40],"conducted":[31],"using":[32],"principal":[33,77,87],"component":[34,39,88],"(PCA)":[36],"and":[37],"independent":[38,64,100,127],"(ICA).":[41],"PCA":[42],"used":[44],"to":[45,60],"fuse":[46],"into":[50],"a":[51,75,91],"more":[52],"compact":[53],"representation":[54,83,89],"while":[55],"the":[56,69,80,104,113,119,130,134],"ICA":[57],"applied":[59],"extract":[61],"patterns":[62],"containing":[63],"low":[65],"level":[66,96],"about":[68],"situation.":[70],"results":[72],"show":[73],"that":[74,118],"few":[76],"components":[78,101],"compress":[79],"data":[82,107,122,135],"efficiently.":[84],"In":[85],"addition,":[86],"provides":[90],"method":[92],"visualizing":[94],"high":[95],"information.":[98],"Most":[99],"extracted":[102],"correlate":[108],"strongly":[109],"with":[110],"some":[111],"of":[112,125],"original":[114,120],"signals.":[115],"suggests":[117],"context":[121],"already":[123],"consist":[124],"relatively":[126],"signals":[128],"if":[129],"temporal":[131],"relations":[132],"in":[133],"are":[136],"omitted.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2016-06-24T00:00:00"}