{"id":"https://openalex.org/W2003499800","doi":"https://doi.org/10.1109/socpar.2013.7054111","title":"Improved personal identification method for guide robots using dress color information via KINECT","display_name":"Improved personal identification method for guide robots using dress color information via KINECT","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2003499800","doi":"https://doi.org/10.1109/socpar.2013.7054111","mag":"2003499800"},"language":"en","primary_location":{"id":"doi:10.1109/socpar.2013.7054111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2013.7054111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","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/A5112227055","display_name":"Seiji Sugiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiji Sugiyama","raw_affiliation_strings":["Information Science and Engineering Ritsumeikan University, Shiga, JAPAN","Information Science & Engineering, Ritsumeikan University, Kusatsu, Shiga, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Engineering Ritsumeikan University, Shiga, JAPAN","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Information Science & Engineering, Ritsumeikan University, Kusatsu, Shiga, JAPAN","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085209922","display_name":"Takahiro Wada","orcid":"https://orcid.org/0000-0002-4518-8903"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Wada","raw_affiliation_strings":["Animation Science and Engineering Ritsumeikan University, Shiga, JAPAN","Animation Science and Engineering Ritsumeikan University Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Animation Science and Engineering Ritsumeikan University, Shiga, JAPAN","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Animation Science and Engineering Ritsumeikan University Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09639335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T12740","display_name":"Gait Recognition and Analysis","score":0.9889000058174133,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9860000014305115,"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/computer-vision","display_name":"Computer vision","score":0.7502961158752441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7112454175949097},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.7060924768447876},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.68812096118927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.657918393611908},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6455819606781006},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5182904601097107},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5173006057739258},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.48975396156311035},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16859880089759827}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7502961158752441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7112454175949097},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7060924768447876},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.68812096118927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.657918393611908},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6455819606781006},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5182904601097107},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5173006057739258},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.48975396156311035},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16859880089759827},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socpar.2013.7054111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2013.7054111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323289","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1580166660","https://openalex.org/W1609299545","https://openalex.org/W2002303241","https://openalex.org/W2112255025","https://openalex.org/W2115736701","https://openalex.org/W2116277851","https://openalex.org/W2119090855","https://openalex.org/W2133425506","https://openalex.org/W2136427570","https://openalex.org/W2144049107","https://openalex.org/W2150563770","https://openalex.org/W2150944002","https://openalex.org/W2151497911","https://openalex.org/W2170877667","https://openalex.org/W2334430898","https://openalex.org/W2577095669","https://openalex.org/W4245230318","https://openalex.org/W6677478656"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2122871747","https://openalex.org/W3204066640","https://openalex.org/W3114279067"],"abstract_inverted_index":{"In":[0],"this":[1,180],"paper,":[2],"a":[3,22,36,46,74,110,171],"Simple":[4],"Personal":[5],"Identification":[6],"(SPI)":[7],"method":[8,51,64,159,176],"using":[9,160],"Dress":[10],"Color":[11],"Information":[12],"(DCI)":[13],"for":[14],"guide":[15],"robots":[16],"is":[17,21,29,109,149,177],"proposed.":[18],"The":[19,49,182],"DCI":[20],"small":[23],"number":[24],"of":[25,166,188],"color":[26,164],"information":[27,58,165],"that":[28],"only":[30,54],"calculated":[31],"at":[32],"narrow":[33,126],"areas":[34,127],"around":[35,128],"user's":[37],"(guided":[38],"person's)":[39],"joint":[40,115,129,168],"positions":[41,116,119,130],"obtained":[42],"via":[43],"KINECT":[44],"on":[45],"mobile":[47,79],"robot.":[48],"SPI":[50],"includes":[52],"not":[53],"the":[55,61,67,78,82,94,125,134,146,186],"person's":[56],"skeletal":[57,114],"but":[59],"also":[60],"DCI.":[62],"This":[63],"can":[65,92],"identify":[66],"specific":[68],"user":[69,83,95],"in":[70,120,179],"real":[71],"time.":[72],"As":[73],"result,":[75],"even":[76],"if":[77],"robot":[80],"loses":[81],"temporarily":[84],"when":[85],"there":[86,108],"are":[87],"many":[88],"people":[89],"present,":[90],"it":[91],"find":[93],"properly":[96],"and":[97,117,144,163],"promptly.":[98],"Our":[99],"previous":[100,175],"research":[101],"had":[102],"four":[103],"problems":[104],"as":[105,170],"follows:":[106],"1)":[107],"position":[111],"error":[112],"between":[113],"pixel":[118],"RGBA":[121],"camera":[122],"image,":[123],"2)":[124],"often":[131],"overflows":[132],"from":[133,174],"dress":[135],"areas,":[136],"3)":[137],"changing":[138],"lighting":[139],"environments":[140],"causes":[141],"wrong":[142],"results,":[143],"4)":[145],"personal":[147],"conformity":[148],"unstable.":[150],"To":[151],"cope":[152],"with":[153],"these":[154],"difficulties,":[155],"an":[156],"improved":[157],"calculating":[158],"correction":[161],"functions":[162],"all":[167],"points":[169],"vector":[172],"different":[173],"proposed":[178],"research.":[181],"experimental":[183],"results":[184],"show":[185],"accuracy":[187],"our":[189],"new":[190],"method.":[191]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}