{"id":"https://openalex.org/W3091111302","doi":"https://doi.org/10.1145/3399715.3399839","title":"MirAIProjection","display_name":"MirAIProjection","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3091111302","doi":"https://doi.org/10.1145/3399715.3399839","mag":"3091111302"},"language":"en","primary_location":{"id":"doi:10.1145/3399715.3399839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3399715.3399839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advanced Visual Interfaces","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/A5113984631","display_name":"Kosuke Maeda","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kosuke Maeda","raw_affiliation_strings":["Tokyo Institute of Technology, Meguro, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056982483","display_name":"Hideki Koike","orcid":"https://orcid.org/0000-0002-8989-6434"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideki Koike","raw_affiliation_strings":["Tokyo Institute of Technology, Meguro, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.1698,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.33631212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8045024871826172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7913528680801392},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7905658483505249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.765937864780426},{"id":"https://openalex.org/keywords/slipping","display_name":"Slipping","score":0.6772733330726624},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5813713073730469},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4411178231239319},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42878222465515137},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.41796594858169556},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.29791438579559326},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2070700228214264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12580284476280212}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8045024871826172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7913528680801392},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7905658483505249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765937864780426},{"id":"https://openalex.org/C2777045574","wikidata":"https://www.wikidata.org/wiki/Q196100","display_name":"Slipping","level":2,"score":0.6772733330726624},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5813713073730469},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4411178231239319},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42878222465515137},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.41796594858169556},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.29791438579559326},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2070700228214264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12580284476280212},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3399715.3399839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3399715.3399839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advanced Visual Interfaces","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2028301086","https://openalex.org/W2241329572","https://openalex.org/W2546719169","https://openalex.org/W2902529630","https://openalex.org/W2903317782","https://openalex.org/W2971126901"],"related_works":["https://openalex.org/W2372999110","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Allowing":[0],"projections":[1],"on":[2,34],"moving":[3],"objects":[4],"is":[5],"associated":[6],"with":[7],"a":[8,11,29,53,57],"problem":[9],"that":[10,38,64,85],"projection":[12,61],"might":[13],"shift":[14],"due":[15],"to":[16,42,75],"the":[17,24,49,77,80,86,91,95,100],"delay":[18],"between":[19],"tracking":[20,59],"and":[21,46,60,68,83,93,97],"projection.":[22,101],"In":[23],"present":[25],"paper,":[26],"we":[27,55],"proposed":[28,81,87],"new":[30],"prediction":[31],"model":[32],"based":[33],"deep":[35],"neural":[36],"networks":[37],"can":[39],"be":[40],"used":[41],"predict":[43],"both":[44],"pose":[45],"position":[47],"of":[48,79,99],"target":[50],"object.":[51],"As":[52],"result,":[54],"developed":[56],"real-time":[58],"system":[62,82,88],"named\"MirAIProjection":[63],"employs":[65],"motion-capture":[66],"cameras":[67],"common":[69],"projectors.":[70],"We":[71],"conducted":[72],"several":[73],"experiments":[74],"evaluate":[76],"effectiveness":[78],"demonstrated":[84],"could":[89],"reduce":[90],"slipping":[92],"increase":[94],"accuracy":[96],"robustness":[98]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2020-10-08T00:00:00"}
