{"id":"https://openalex.org/W2436337926","doi":"https://doi.org/10.1109/amc.2016.7496353","title":"Telepresence control of humanoid robot via high-frequency phase-tagged SSVEP stimuli","display_name":"Telepresence control of humanoid robot via high-frequency phase-tagged SSVEP stimuli","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2436337926","doi":"https://doi.org/10.1109/amc.2016.7496353","mag":"2436337926"},"language":"en","primary_location":{"id":"doi:10.1109/amc.2016.7496353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/amc.2016.7496353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","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/A5111549772","display_name":"Hong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Hu","raw_affiliation_strings":["School of Electrical Engineering and Automation, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090292649","display_name":"Jing Zhao","orcid":"https://orcid.org/0000-0002-0660-1814"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["School of Electrical Engineering and Automation, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038076794","display_name":"Hongbo Li","orcid":"https://orcid.org/0000-0002-2664-4117"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Li","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318377","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1418-0201"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003882518","display_name":"Genshe Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Genshe Chen","raw_affiliation_strings":["Intelligent Fusion Technology, Inc., Germantown, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, Inc., Germantown, MD, USA","institution_ids":["https://openalex.org/I4210131102"]}]}],"institutions":[],"countries_distinct_count":2,"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":"214","last_page":"219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9828000068664551,"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/humanoid-robot","display_name":"Humanoid robot","score":0.8838193416595459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.659292459487915},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5908506512641907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5204039812088013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49959850311279297},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4555855393409729},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.4391828179359436},{"id":"https://openalex.org/keywords/mental-state","display_name":"Mental state","score":0.43697959184646606},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.38133904337882996},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.3158097267150879},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14344659447669983}],"concepts":[{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.8838193416595459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.659292459487915},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5908506512641907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5204039812088013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49959850311279297},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4555855393409729},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.4391828179359436},{"id":"https://openalex.org/C2779429828","wikidata":"https://www.wikidata.org/wiki/Q3968640","display_name":"Mental state","level":2,"score":0.43697959184646606},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.38133904337882996},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.3158097267150879},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14344659447669983},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/amc.2016.7496353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/amc.2016.7496353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","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":16,"referenced_works":["https://openalex.org/W1983853530","https://openalex.org/W1998734265","https://openalex.org/W2009857688","https://openalex.org/W2038091541","https://openalex.org/W2064474095","https://openalex.org/W2067043925","https://openalex.org/W2094277382","https://openalex.org/W2105478324","https://openalex.org/W2121538726","https://openalex.org/W2145302786","https://openalex.org/W2154848553","https://openalex.org/W2161419535","https://openalex.org/W2169866873","https://openalex.org/W2313032445","https://openalex.org/W2337970775","https://openalex.org/W6659919157"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W2356867392","https://openalex.org/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W2906946336","https://openalex.org/W1971413691"],"abstract_inverted_index":{"This":[0,34],"paper":[1],"presents":[2],"a":[3,11,30,47,66,73,104],"high-frequency":[4],"steady-state":[5],"visual":[6,27],"evoked":[7],"potential-based":[8],"model":[9,19],"for":[10],"brain-controlled":[12],"humanoid":[13,68],"robot.":[14],"An":[15],"advantage":[16],"of":[17,32,94,100],"this":[18],"is":[20],"to":[21,40,51,70],"reduce":[22],"subjects'":[23],"fatigue":[24],"by":[25],"using":[26],"stimuli":[28],"with":[29,75],"frequency":[31],"30Hz.":[33],"study":[35],"optimizes":[36],"the":[37,42,89],"stimulus":[38],"patterns":[39],"increase":[41],"brain":[43],"signals":[44],"and":[45,56,96],"applies":[46],"fuzzy-based":[48],"classification":[49],"approach":[50],"identify":[52],"human":[53],"mental":[54],"activities":[55],"convert":[57],"them":[58],"into":[59],"control":[60,91],"commands.":[61],"Seven":[62],"subjects":[63],"successfully":[64],"navigated":[65],"NAO":[67],"robot":[69,85],"walk":[71],"through":[72],"map":[74],"obstacle":[76],"avoidance":[77],"based":[78],"on":[79],"live":[80],"video":[81],"feedback.":[82],"The":[83],"on-line":[84],"navigation":[86],"experiment":[87],"reached":[88],"average":[90,98],"success":[92],"rate":[93],"94.26%":[95],"an":[97],"collision":[99],"1.8":[101],"times":[102],"during":[103],"mission.":[105]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}