{"id":"https://openalex.org/W4416251715","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228729","title":"BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility","display_name":"BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251715","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228729"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.18749","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020162492","display_name":"Abdul W. Basit","orcid":"https://orcid.org/0000-0002-5368-6603"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Abdul Basit","raw_affiliation_strings":["New York University (NYU), Abu Dhabi,eBRAIN Lab, Division of Engineering,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"New York University (NYU), Abu Dhabi,eBRAIN Lab, Division of Engineering,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I120250893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094302531","display_name":"Maha Nawaz","orcid":null},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Maha Nawaz","raw_affiliation_strings":["New York University (NYU), Abu Dhabi,eBRAIN Lab, Division of Engineering,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"New York University (NYU), Abu Dhabi,eBRAIN Lab, Division of Engineering,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I120250893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102489167","display_name":"Muhammad Shafique","orcid":null},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Muhammad Shafique","raw_affiliation_strings":["New York University (NYU), Abu Dhabi,eBRAIN Lab, Division of Engineering,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"New York University (NYU), Abu Dhabi,eBRAIN Lab, Division of Engineering,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I120250893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020162492"],"corresponding_institution_ids":["https://openalex.org/I120250893"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33399536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9276000261306763,"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":0.9276000261306763,"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":0.06239999830722809,"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/T10919","display_name":"Neurological disorders and treatments","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4399000108242035},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.41670000553131104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4011000096797943},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.37049999833106995},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.3652999997138977},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.34769999980926514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33489999175071716},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.32440000772476196},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32280001044273376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279000282287598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4887000024318695},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4399000108242035},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.41670000553131104},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4147000014781952},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.37049999833106995},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3100000023841858},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C6183727","wikidata":"https://www.wikidata.org/wiki/Q5428559","display_name":"Facial electromyography","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2822999954223633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27869999408721924},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C3018339088","wikidata":"https://www.wikidata.org/wiki/Q28460","display_name":"Hands free","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2780905192","wikidata":"https://www.wikidata.org/wiki/Q2341604","display_name":"Facial muscles","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.2605000138282776}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.18749","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.18749","pdf_url":"https://arxiv.org/pdf/2506.18749","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.18749","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.18749","pdf_url":"https://arxiv.org/pdf/2506.18749","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330069","display_name":"Tamkeen","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1974371581","https://openalex.org/W1975226595","https://openalex.org/W2007274837","https://openalex.org/W2079277602","https://openalex.org/W2100338757","https://openalex.org/W2128219313","https://openalex.org/W2138964882","https://openalex.org/W2142280324","https://openalex.org/W2152119085","https://openalex.org/W2154037495","https://openalex.org/W2154774916","https://openalex.org/W2559463885","https://openalex.org/W2583116358","https://openalex.org/W2741907166","https://openalex.org/W2794345050","https://openalex.org/W2801983241","https://openalex.org/W2915893085","https://openalex.org/W2982454737","https://openalex.org/W3109781171","https://openalex.org/W3121810080","https://openalex.org/W3211537758","https://openalex.org/W4200000635","https://openalex.org/W4307216773","https://openalex.org/W4385858888","https://openalex.org/W4388046542","https://openalex.org/W4390104273","https://openalex.org/W4390175233","https://openalex.org/W4406208682","https://openalex.org/W4413273653"],"related_works":[],"abstract_inverted_index":{"Non-invasive":[0],"brain-computer":[1],"interfaces":[2],"(BCIs)":[3],"have":[4],"the":[5,170,211],"potential":[6],"to":[7,28,72,141,158],"enable":[8],"intuitive":[9,160],"control":[10,23,79],"of":[11,112,166,183],"prosthetic":[12,47,68,171,204,244],"limbs":[13],"for":[14,61,131,192,219],"individuals":[15],"with":[16,55,179],"upper":[17],"limb":[18],"amputations.":[19],"However,":[20],"existing":[21],"EEG-based":[22],"systems":[24],"face":[25],"challenges":[26],"related":[27],"signal":[29],"noise,":[30],"classification":[31,54,88,110],"accuracy,":[32],"and":[33,45,100,134,147,206],"real-time":[34],"adaptability.":[35],"In":[36],"this":[37],"work,":[38],"we":[39],"present":[40],"BRAVE,":[41],"a":[42,56,109,122,180,237],"hybrid":[43],"EEG":[44,53,117],"voice-controlled":[46],"system":[48,174,197,216],"that":[49,234],"integrates":[50],"ensemble":[51,106],"learning-based":[52],"human-in-the-loop":[57],"(HITL)":[58],"correction":[59],"framework":[60],"enhanced":[62],"responsiveness.":[63],"Unlike":[64],"traditional":[65],"electromyography":[66],"(EMG)-based":[67],"control,":[69],"BRAVE":[70,90,152,235],"aims":[71],"interpret":[73],"EEG-driven":[74],"motor":[75],"intent,":[76],"enabling":[77],"movement":[78],"without":[80],"reliance":[81],"on":[82,200,207],"residual":[83],"muscle":[84],"activity.":[85],"To":[86],"improve":[87],"robustness,":[89],"combines":[91],"Long":[92],"Short-Term":[93],"Memory":[94],"(LSTM),":[95],"Convolutional":[96],"Neural":[97],"Network":[98],"(CNN),":[99],"Random":[101],"Forest":[102],"models":[103],"in":[104,169,176],"an":[105,201],"framework,":[107],"achieving":[108],"accuracy":[111],"96%":[113],"across":[114,213],"test":[115],"subjects.":[116],"signals":[118],"are":[119],"preprocessed":[120],"using":[121],"bandpass":[123],"filter":[124],"(0.5\u201345":[125],"Hz),":[126],"Independent":[127],"Component":[128],"Analysis":[129],"(ICA)":[130],"artifact":[132],"removal,":[133],"Common":[135],"Spatial":[136],"Pattern":[137],"(CSP)":[138],"feature":[139],"extraction":[140],"minimize":[142],"contamination":[143],"from":[144],"electromyographic":[145],"(EMG)":[146],"electrooculographic":[148],"(EOG)":[149],"signals.":[150],"Additionally,":[151],"incorporates":[153],"automatic":[154],"speech":[155],"recognition":[156],"(ASR)":[157],"facilitate":[159],"mode":[161],"switching":[162],"between":[163],"different":[164],"degrees":[165],"freedom":[167],"(DOF)":[168],"arm.":[172],"The":[173,196,215],"operates":[175],"real":[177],"time,":[178],"response":[181],"latency":[182],"150":[184],"ms,":[185],"leveraging":[186],"Lab":[187],"Streaming":[188],"Layer":[189],"(LSL)":[190],"networking":[191],"synchronized":[193],"data":[194],"acquisition.":[195],"is":[198,217],"evaluated":[199],"in-house":[202],"fabricated":[203],"arm":[205],"multiple":[208],"participants":[209],"highlighting":[210],"generalizability":[212],"users.":[214],"optimized":[218],"low-power":[220],"embedded":[221],"deployment,":[222],"ensuring":[223],"practical":[224],"real-world":[225],"application":[226],"beyond":[227],"high-performance":[228],"computing":[229],"environments.":[230],"Our":[231],"results":[232],"indicate":[233],"offers":[236],"promising":[238],"step":[239],"towards":[240],"robust,":[241],"real-time,":[242],"non-invasive":[243],"control.":[245]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
