{"id":"https://openalex.org/W2133137286","doi":"https://doi.org/10.1109/icassp.2008.4517957","title":"Gait Recognition using Multiple Views","display_name":"Gait Recognition using Multiple Views","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2133137286","doi":"https://doi.org/10.1109/icassp.2008.4517957","mag":"2133137286"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4517957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 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/A5113461090","display_name":"Xiaxi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaxi Huang","raw_affiliation_strings":["Department of Electronic Engineering, King''s College, UK","Dept. of Electron. Eng., King's Coll. London, London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, King''s College, UK","institution_ids":["https://openalex.org/I4210119896"]},{"raw_affiliation_string":"Dept. of Electron. Eng., King's Coll. London, London","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105465120","display_name":"Nikolaos V. Boulgouris","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nikolaos V. Boulgouris","raw_affiliation_strings":["Department of Electronic Engineering, King''s College, UK","Dept. of Electron. Eng., King's Coll. London, London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, King''s College, UK","institution_ids":["https://openalex.org/I4210119896"]},{"raw_affiliation_string":"Dept. of Electron. Eng., King's Coll. London, London","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1705","last_page":"1708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9879000186920166,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/exploit","display_name":"Exploit","score":0.8068499565124512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7207709550857544},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6492835283279419},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6082659363746643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5532382130622864},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4148523211479187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3849950134754181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38244253396987915},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.08641472458839417},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06223326921463013}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8068499565124512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7207709550857544},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6492835283279419},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6082659363746643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5532382130622864},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4148523211479187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3849950134754181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38244253396987915},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.08641472458839417},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06223326921463013},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2008.4517957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1977543168","https://openalex.org/W1986895792","https://openalex.org/W2116208049","https://openalex.org/W2120526922","https://openalex.org/W2125223834","https://openalex.org/W2126680226","https://openalex.org/W2128233502","https://openalex.org/W2129887056","https://openalex.org/W2134602990","https://openalex.org/W2151458682","https://openalex.org/W2154171558","https://openalex.org/W2158275940","https://openalex.org/W2160933580","https://openalex.org/W2799061466","https://openalex.org/W4230946174","https://openalex.org/W4234953666"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"gait":[4],"recognition":[5,31],"system":[6],"in":[7,29],"which":[8],"several":[9,42,71],"views":[10,56,72,97,102],"are":[11,51,57,104],"available.":[12],"It":[13],"is":[14,73],"shown":[15],"that":[16,50,103],"each":[17,82],"view":[18],"has":[19],"unequal":[20,27],"discrimination":[21],"power":[22],"and,":[23],"therefore,":[24],"should":[25],"have":[26],"contribution":[28],"the":[30,37,45,48,54,65,68,78],"process.":[32],"In":[33],"order":[34],"to":[35,91],"exploit":[36],"availability":[38],"of":[39,47,67,81],"multiple":[40,101],"views,":[41],"methods":[43],"for":[44,64],"combination":[46,66,108],"results":[49,69],"obtained":[52,93],"from":[53,70],"individual":[55,96],"tested":[58],"and":[59],"evaluated.":[60],"A":[61],"novel":[62],"approach":[63,86],"also":[74],"proposed":[75,85],"based":[76],"on":[77],"relative":[79],"importance":[80],"view.":[83],"The":[84],"generates":[87],"improved":[88],"results,":[89],"compared":[90],"those":[92],"by":[94,99],"using":[95,100,106],"or":[98],"combined":[105],"other":[107],"methods.":[109]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
