{"id":"https://openalex.org/W2901986312","doi":"https://doi.org/10.1145/3289430.3289441","title":"Interaction Technology Based on 3D printing topographic sand table for Emergency Management","display_name":"Interaction Technology Based on 3D printing topographic sand table for Emergency Management","publication_year":2018,"publication_date":"2018-10-24","ids":{"openalex":"https://openalex.org/W2901986312","doi":"https://doi.org/10.1145/3289430.3289441","mag":"2901986312"},"language":"en","primary_location":{"id":"doi:10.1145/3289430.3289441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289430.3289441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things","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/A5103794133","display_name":"Dong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wu","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Chaoyang Dist., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Chaoyang Dist., Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108012185","display_name":"Jianhua Gong","orcid":"https://orcid.org/0000-0003-3875-8792"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Gong","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Chaoyang Dist., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Chaoyang Dist., Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421454","display_name":"Yi Li","orcid":"https://orcid.org/0000-0002-2092-4505"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Chaoyang Dist., Beijing, China, Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Chaoyang Dist., Beijing, China, Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.991599977016449,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.8117179870605469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7711686491966248},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7042580842971802},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6973028182983398},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6953505873680115},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5211420059204102},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5155670642852783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46914997696876526},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42938193678855896},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4219839572906494},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3440092206001282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3311239778995514},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0922822654247284}],"concepts":[{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.8117179870605469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7711686491966248},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7042580842971802},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6973028182983398},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6953505873680115},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5211420059204102},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5155670642852783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46914997696876526},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42938193678855896},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4219839572906494},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3440092206001282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3311239778995514},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0922822654247284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3289430.3289441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289430.3289441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things","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":11,"referenced_works":["https://openalex.org/W1172848105","https://openalex.org/W1975546869","https://openalex.org/W2028471190","https://openalex.org/W2054697143","https://openalex.org/W2063642190","https://openalex.org/W2117683888","https://openalex.org/W2163605009","https://openalex.org/W2353291309","https://openalex.org/W2588778183","https://openalex.org/W2794314470","https://openalex.org/W2897765997"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Enhance":[0],"Virtual":[1],"Reality":[2],"is":[3,87,101],"an":[4],"innovative":[5],"technique":[6],"to":[7,89],"perform":[8,108],"dynamic":[9,41,91],"3D":[10,83,112],"visualization":[11,105],"and":[12,31,39,66,69,103],"emergency":[13],"management":[14],"based":[15,62,81],"on":[16,63,82,111],"sand":[17,45,85,114],"table,":[18],"which":[19],"needs":[20],"convenient":[21,35,109],"human-computer":[22,55],"interaction":[23,26,36,48,60],"techniques.":[24],"Traditional":[25],"techniques":[27,61],"such":[28],"as":[29],"mouse":[30],"keyboard":[32],"cannot":[33],"realize":[34],"between":[37],"human":[38],"the":[40,104],"virtual":[42],"scene":[43,92],"of":[44],"table.":[46,115],"Gesture":[47],"method":[49],"has":[50],"received":[51],"increasing":[52],"attention":[53],"in":[54,75],"interaction.":[56],"This":[57],"paper":[58],"researches":[59],"computer":[64],"vision":[65],"deep":[67],"learning,":[68],"convolutional":[70],"neural":[71],"network":[72],"was":[73],"used":[74],"gesture":[76,98],"recognition.":[77],"A":[78],"prototype":[79],"system":[80,106],"printing":[84,113],"table":[86],"proposed":[88],"achieve":[90],"demonstration.":[93],"The":[94],"experiment":[95],"shows":[96],"that":[97],"recognition":[99],"accuracy":[100],"99.51%,":[102],"can":[107],"operations":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}