{"id":"https://openalex.org/W3129600301","doi":"https://doi.org/10.1145/3430524.3444638","title":"Roads in You: Matching and Visualizing Veins and Roads in 3D","display_name":"Roads in You: Matching and Visualizing Veins and Roads in 3D","publication_year":2021,"publication_date":"2021-02-14","ids":{"openalex":"https://openalex.org/W3129600301","doi":"https://doi.org/10.1145/3430524.3444638","mag":"3129600301"},"language":"en","primary_location":{"id":"doi:10.1145/3430524.3444638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430524.3444638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction","raw_type":"proceedings-article"},"type":"article","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/A5007729218","display_name":"Yoon Chung Han","orcid":"https://orcid.org/0000-0003-1348-6858"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yoon Chung Han","raw_affiliation_strings":["Department of Design San Jose State University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Design San Jose State University, United States","institution_ids":["https://openalex.org/I51504820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007729218"],"corresponding_institution_ids":["https://openalex.org/I51504820"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01771467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9969000220298767,"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/T10828","display_name":"Biometric Identification and Security","score":0.9969000220298767,"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/T12417","display_name":"Morphological variations and asymmetry","score":0.910099983215332,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/computer-science","display_name":"Computer science","score":0.5582270622253418},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.550732433795929},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.43344929814338684},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43053895235061646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3054909110069275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11454170942306519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5582270622253418},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.550732433795929},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.43344929814338684},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43053895235061646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3054909110069275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11454170942306519},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430524.3444638","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430524.3444638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W102565073","https://openalex.org/W2050895443","https://openalex.org/W2056787187","https://openalex.org/W2140959843","https://openalex.org/W2942974210","https://openalex.org/W3029988310"],"related_works":["https://openalex.org/W1549056443","https://openalex.org/W1493022169","https://openalex.org/W1553205307","https://openalex.org/W1584304702","https://openalex.org/W2363669182","https://openalex.org/W2525150146","https://openalex.org/W1582096518","https://openalex.org/W1604110270","https://openalex.org/W2792152840","https://openalex.org/W251114125"],"abstract_inverted_index":{"Roads":[0],"in":[1,60,81,110,158],"You":[2],"is":[3],"an":[4,149],"interactive":[5,83],"biometric-data":[6],"art":[7],"and":[8,39,56,87,107,121,132,155],"physical":[9,133],"3D":[10,84,88,129],"data":[11,130,134,154,157],"visualization":[12,86,131],"by":[13],"using":[14],"a":[15,95,117],"vein":[16,54],"matching":[17,119],"process":[18,78,120],"to":[19,65,115,139,147],"roads.":[20],"Veins":[21],"are":[22,79,136],"beautifully":[23],"complicated":[24],"forms":[25],"hidden":[26],"under":[27],"skins.":[28],"It":[29],"includes":[30],"many":[31],"intersections":[32],"of":[33,69,97,160],"roads":[34,38,59,125],"that":[35,63],"resemble":[36],"the":[37,51,61,66,98],"paths":[40],"surrounding":[41],"us.":[42],"In":[43],"this":[44,77,111,140],"artwork,":[45],"participants":[46],"scan":[47],"their":[48,70],"veins,":[49],"capture":[50],"aesthetically":[52],"formed":[53],"lines,":[55],"observe":[57],"existing":[58],"earth":[62],"match":[64],"veins":[67],"inside":[68],"bodies.":[71],"The":[72],"surprising":[73],"results":[74],"discovered":[75],"through":[76],"visualized":[80],"both":[82],"map":[85],"printed":[89],"sculptures":[90,135],"as":[91,94,104],"personal":[92],"souvenirs":[93],"part":[96],"artistic":[99,105],"experience.":[100],"Unique":[101],"aspects":[102],"such":[103],"expression":[106],"situated":[108],"metaphors":[109],"artwork":[112,145],"invite":[113],"audiences":[114],"experience":[116],"unique":[118],"discover":[122],"newly":[123],"meaningful":[124],"for":[126],"them.":[127],"Enhanced":[128],"new":[137],"additions":[138],"updated":[141],"version.":[142],"This":[143],"data-driven":[144],"aims":[146],"find":[148],"interesting":[150],"correlation":[151],"between":[152],"biometric":[153],"map-based":[156],"terms":[159],"research":[161],"questions.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
