{"id":"https://openalex.org/W2155403180","doi":"https://doi.org/10.1109/ijcnn.2014.6889946","title":"EEG based artificial learning of motor coordination for visually inspired task using neural networks","display_name":"EEG based artificial learning of motor coordination for visually inspired task using neural networks","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2155403180","doi":"https://doi.org/10.1109/ijcnn.2014.6889946","mag":"2155403180"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5006335738","display_name":"Shreyasi Datta","orcid":"https://orcid.org/0000-0002-2470-3574"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shreyasi Datta","raw_affiliation_strings":["Dept. of Electronics and Telecommunication Engineering"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Telecommunication Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069088629","display_name":"Anwesha Khasnobish","orcid":"https://orcid.org/0000-0002-3274-7673"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anwesha Khasnobish","raw_affiliation_strings":["School of Bioscience and Engineering, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"School of Bioscience and Engineering, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011939964","display_name":"Amit Konar","orcid":"https://orcid.org/0000-0002-9474-5956"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amit Konar","raw_affiliation_strings":["Dept. of Electronics and Telecommunication Engineering"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronics and Telecommunication Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069544776","display_name":"D. N. Tibarewala","orcid":null},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. N. Tibarewala","raw_affiliation_strings":["School of Bioscience and Engineering, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"School of Bioscience and Engineering, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081696143","display_name":"Atulya K. Nagar","orcid":"https://orcid.org/0000-0001-5549-6435"},"institutions":[{"id":"https://openalex.org/I44852757","display_name":"Liverpool Hope University","ror":"https://ror.org/03ctjbj91","country_code":"GB","type":"education","lineage":["https://openalex.org/I44852757"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Atulya K. Nagar","raw_affiliation_strings":["Mathematics and Computer Science Department, Liverpool Hope University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science Department, Liverpool Hope University, United Kingdom","institution_ids":["https://openalex.org/I44852757"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006335738"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7656,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71163946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"3371","last_page":"3378"},"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7198567986488342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6991246342658997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6716655492782593},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5994901657104492},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49831390380859375},{"id":"https://openalex.org/keywords/posterior-parietal-cortex","display_name":"Posterior parietal cortex","score":0.4776959717273712},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.45270487666130066},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20895010232925415},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1954815685749054}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7198567986488342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6991246342658997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6716655492782593},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5994901657104492},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49831390380859375},{"id":"https://openalex.org/C6757342","wikidata":"https://www.wikidata.org/wiki/Q3486606","display_name":"Posterior parietal cortex","level":2,"score":0.4776959717273712},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.45270487666130066},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20895010232925415},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1954815685749054}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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":32,"referenced_works":["https://openalex.org/W68310584","https://openalex.org/W118829763","https://openalex.org/W261832787","https://openalex.org/W1520075557","https://openalex.org/W1967167074","https://openalex.org/W1971396065","https://openalex.org/W1999269011","https://openalex.org/W2001019798","https://openalex.org/W2001471870","https://openalex.org/W2051812123","https://openalex.org/W2071460053","https://openalex.org/W2079369370","https://openalex.org/W2092802614","https://openalex.org/W2098994855","https://openalex.org/W2099146800","https://openalex.org/W2106006415","https://openalex.org/W2107093743","https://openalex.org/W2111051539","https://openalex.org/W2126234799","https://openalex.org/W2126355928","https://openalex.org/W2140062752","https://openalex.org/W2140413964","https://openalex.org/W2155482699","https://openalex.org/W2163072720","https://openalex.org/W2289732421","https://openalex.org/W2414105155","https://openalex.org/W2532733969","https://openalex.org/W2911546748","https://openalex.org/W6631063602","https://openalex.org/W6643018771","https://openalex.org/W6696514930","https://openalex.org/W6729102371"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W2531880140","https://openalex.org/W3205213561","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W2922348724","https://openalex.org/W3024018414","https://openalex.org/W385273440","https://openalex.org/W2373052636"],"abstract_inverted_index":{"Damage":[0],"in":[1,13,177],"parietal":[2,39,65],"and/or":[3],"motor":[4,41,67,133],"cortex":[5,42],"of":[6,24,32,37,74,90,95,116,154,179,184],"the":[7,38,71,96,114,142,185,193],"brain":[8,109,118],"can":[9],"lead":[10],"to":[11,28,113,140],"inability":[12],"proper":[14],"visuo-motor":[15],"coordination,":[16],"hampering":[17],"movement":[18,59],"planning":[19],"and":[20,40,66,70,93,189,196],"execution.":[21],"The":[22,81,103,131,152],"objective":[23],"this":[25],"work":[26],"is":[27],"predict":[29,141],"joint":[30,72,144],"coordinates":[31,73,145],"hand":[33,58,75,143],"by":[34,88],"sequential":[35],"prediction":[36],"Electroencephalogram":[43],"(EEG)":[44],"features":[45,92,98,105,115],"from":[46,63,107],"their":[47],"occipital":[48],"counterparts":[49],"using":[50,78,99,120,146],"artificial":[51,124],"neural":[52,125],"networks":[53,126],"(ANNs).":[54],"EEG":[55,83,104,135],"signals":[56,84,136],"during":[57],"execution":[60],"are":[61,76,85,111,137,163],"acquired":[62,77,82],"occipital,":[64],"cortical":[68,134],"regions":[69],"Kinect":[79],"sensor.":[80],"preprocessed":[86],"followed":[87],"extraction":[89],"wavelet":[91],"selection":[94],"best":[97,176,186],"Principal":[100],"Component":[101],"Analysis.":[102],"originating":[106],"one":[108],"region":[110,119],"mapped":[112,132],"another":[117],"regression":[121],"analysis":[122,166],"on":[123],"with":[127],"Back":[128,147,160],"Propagation":[129,148,161],"learning.":[130],"finally":[138],"used":[139],"learning":[149,162],"based":[150,172],"ANN.":[151],"performances":[153],"various":[155],"weight":[156,173],"adaptation":[157,174],"techniques":[158],"for":[159],"evaluated.":[164],"Regression":[165],"results":[167],"indicate":[168],"that":[169],"Levenberg-Marquardt":[170],"optimization":[171],"performed":[175],"terms":[178],"mean":[180],"squared":[181],"error,":[182],"slope":[183],"linear":[187],"fit":[188],"correlation":[190],"coefficient":[191],"between":[192],"original":[194],"values":[195],"predicted":[197],"results.":[198]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
