{"id":"https://openalex.org/W2295963506","doi":"https://doi.org/10.1109/bigcomp.2016.7425963","title":"Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks","display_name":"Hand motion identification of grasp-and-lift task from electroencephalography recordings using recurrent neural networks","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2295963506","doi":"https://doi.org/10.1109/bigcomp.2016.7425963","mag":"2295963506"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2016.7425963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2016.7425963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Big Data and Smart Computing (BigComp)","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/A5077964506","display_name":"Jinwon An","orcid":"https://orcid.org/0000-0003-4163-3843"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jinwon An","raw_affiliation_strings":["Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017305201","display_name":"Sungzoon Cho","orcid":"https://orcid.org/0000-0002-1695-1973"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungzoon Cho","raw_affiliation_strings":["Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077964506"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.9235,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.72801991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/electroencephalography","display_name":"Electroencephalography","score":0.873421847820282},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.8423386812210083},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7420737743377686},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.7368056178092957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.72185218334198},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5729743242263794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5718252062797546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339338183403015},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5142016410827637},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4682800769805908},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.466957151889801},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4668933153152466},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33022773265838623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2998999357223511},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.18624994158744812},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13145026564598083},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11401939392089844}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.873421847820282},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.8423386812210083},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7420737743377686},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.7368056178092957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72185218334198},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5729743242263794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5718252062797546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339338183403015},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5142016410827637},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4682800769805908},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.466957151889801},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4668933153152466},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33022773265838623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2998999357223511},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18624994158744812},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13145026564598083},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11401939392089844},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2016.7425963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2016.7425963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W580786182","https://openalex.org/W581956982","https://openalex.org/W2039930961","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2143612262","https://openalex.org/W2157331557","https://openalex.org/W2163922914","https://openalex.org/W2170227210","https://openalex.org/W4239995658","https://openalex.org/W6616837769"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W3202969339","https://openalex.org/W2477150073","https://openalex.org/W4237513258"],"abstract_inverted_index":{"People":[0],"who":[1],"suffer":[2],"from":[3,55],"neuromuscular":[4],"disorders":[5],"and":[6],"amputated":[7],"limbs":[8],"require":[9],"prosthetic":[10],"devices":[11],"that":[12,30],"are":[13,67],"maneuvered":[14],"through":[15],"brain":[16,29,37],"computer":[17,38],"interfaces.":[18],"Electroencephalography":[19],"is":[20,31,78],"a":[21,36,45],"method":[22,46],"to":[23],"record":[24],"the":[25,28],"activity":[26],"of":[27,63,71],"used":[32],"for":[33,35,47],"inputs":[34],"interface.":[39],"In":[40],"this":[41],"paper":[42],"we":[43],"propose":[44],"predicting":[48],"hand":[49],"motion":[50],"phases":[51],"in":[52,69],"grasp-and-lift":[53],"task":[54],"electroencephalography":[56],"recordings":[57],"using":[58],"recurrent":[59,64],"networks.":[60],"Various":[61],"architectures":[62],"neural":[65],"networks":[66],"compared":[68],"terms":[70],"performance.":[72],"For":[73],"consistent":[74],"prediction,":[75],"moving":[76],"average":[77],"applied.":[79]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
