{"id":"https://openalex.org/W4294069530","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869014","title":"A Drone Human-Machine Interaction Method Based on Generative Adversarial Network","display_name":"A Drone Human-Machine Interaction Method Based on Generative Adversarial Network","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069530","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869014"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9869014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869014","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/A5078543240","display_name":"Qinxin Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"QinXin Zhan","raw_affiliation_strings":["College of Mechanical & Electrical Engineering National Taipei University of Technology,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical & Electrical Engineering National Taipei University of Technology,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043567552","display_name":"Xinzhu Li","orcid":"https://orcid.org/0000-0002-6459-793X"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xin-Zhu Li","raw_affiliation_strings":["College of Design National Taipei University of Technology,Taipei,Taiwan","College of Design National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Design National Taipei University of Technology,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"College of Design National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068221171","display_name":"Xin Kang","orcid":"https://orcid.org/0000-0002-2383-7036"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]},{"id":"https://openalex.org/I4405254534","display_name":"NingboTech University","ror":"https://ror.org/01xx18q52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405254534"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Kang","raw_affiliation_strings":["NingboTech University,Ningbo,China","NingboTech University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NingboTech University,Ningbo,China","institution_ids":["https://openalex.org/I159389169","https://openalex.org/I4405254534"]},{"raw_affiliation_string":"NingboTech University, Ningbo, China","institution_ids":["https://openalex.org/I159389169","https://openalex.org/I4405254534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080040660","display_name":"Shau-Yu Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I22442739","display_name":"University of Taipei","ror":"https://ror.org/039e7bg24","country_code":"TW","type":"education","lineage":["https://openalex.org/I22442739"]},{"id":"https://openalex.org/I4210143086","display_name":"Taipei Institute of Pathology","ror":"https://ror.org/045syea95","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210143086"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shau-Yu Lu","raw_affiliation_strings":["Taipei,Taiwan","Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taipei,Taiwan","institution_ids":["https://openalex.org/I22442739","https://openalex.org/I4210143086"]},{"raw_affiliation_string":"Taipei, Taiwan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3611758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"441","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9990000128746033,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9990000128746033,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9972000122070312,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996399998664856,"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/drone","display_name":"Drone","score":0.9556949734687805},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7923544645309448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314319610595703},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7073936462402344},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6469944715499878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6173391938209534},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6151989102363586},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6085484027862549},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5513737201690674},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5024909973144531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4796874225139618},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33671772480010986},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.27025091648101807}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9556949734687805},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7923544645309448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314319610595703},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7073936462402344},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6469944715499878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6173391938209534},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6151989102363586},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6085484027862549},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5513737201690674},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5024909973144531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4796874225139618},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33671772480010986},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27025091648101807},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan55306.2022.9869014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869014","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1984895738","https://openalex.org/W2031767704","https://openalex.org/W2802344799","https://openalex.org/W2963767194","https://openalex.org/W4295274059","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Commercially":[0],"drone":[1,31,82],"are":[2,62],"mainly":[3],"operated":[4],"by":[5,32],"dedicated":[6],"personnel":[7],"with":[8,58],"trained":[9],"skills.":[10],"The":[11],"high":[12],"learning":[13],"cost":[14],"of":[15,37,71,79],"operation":[16,72],"will":[17],"discourage":[18],"some":[19],"potential":[20],"users.":[21],"In":[22],"this":[23,80],"paper,":[24],"we":[25],"propose":[26],"an":[27],"human-machine":[28],"Interaction":[29],"to":[30,44,50,67],"intercepting":[33],"the":[34,52,56,59,69],"visual":[35],"images":[36],"robots":[38],"and":[39,55],"use":[40],"Generative":[41],"Adversarial":[42],"Network(GAN)":[43],"train.":[45],"A":[46],"camera":[47],"is":[48],"used":[49],"intercept":[51],"operator's":[53,60],"gestures,":[54],"photos":[57],"gestures":[61],"converted":[63],"into":[64],"control":[65,84],"commands":[66],"improve":[68],"accuracy":[70],"in":[73,88],"complex":[74,90],"backgrounds.":[75],"As":[76],"a":[77],"result":[78],"research,":[81],"flight":[83],"can":[85],"be":[86],"accomplished":[87],"more":[89],"backgrounds,":[91],"greatly":[92],"simplifying":[93],"operator":[94],"stress.":[95]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}