Matches in SemOpenAlex for { <https://semopenalex.org/work/W2037494003> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2037494003 abstract "A brain computer interface is a communication system that translates brain activities into commands for a computer. For physically disabled people, who cannot express their needs through verbal mode (such as thirst, appetite etc), a brain-computer interface (BCI) is the only feasible channel for communicating with others. This technology has the capability of providing substantial independence and hence, a greatly improved quality of life for the physically disabled persons. The BCI technique utilizes electrical brain potentials to directly communicate to devices such as a personal computer system. Cerebral electric activity is recorded via the electroencephalogram (EEG) electrodes attached to the scalp measure the electric signals of the brain. These signals are transmitted to the computer, which transforms them into device control commands. The efficiency of the BCI techniques lies in the extraction of suitable features from EEG signals followed by the classification scheme. This paper focuses on development of brain-computer interface model for motor imagery tasks such as movement of left hand, right hand etc. Several time domain features namely, spike rhythmicity, autoregressive method by Burgs, auto regression with exogenous input, autoregressive method based on Levinson are used by varying the prediction order. Frequency domain method involving estimation of power spectral density using Welch and Burg’s method are applied. A binary classification based on recurrent neural network is used. An optimal classification of the imagery tasks with an overall accuracy of 100% is achieved based on configuring the neural network model and varying the extracted feature and EEG channels optimally. A device command translator finally converts these tasks into speech thereby providing the practical usage of this model for real-time BCI application." @default.
- W2037494003 created "2016-06-24" @default.
- W2037494003 creator A5043209594 @default.
- W2037494003 date "2013-01-01" @default.
- W2037494003 modified "2023-09-25" @default.
- W2037494003 title "EEG Based Thought Translator" @default.
- W2037494003 cites W2011417323 @default.
- W2037494003 cites W2054764914 @default.
- W2037494003 cites W2075647286 @default.
- W2037494003 cites W2098844365 @default.
- W2037494003 cites W2102837100 @default.
- W2037494003 cites W2104149879 @default.
- W2037494003 cites W2106822551 @default.
- W2037494003 cites W2110485445 @default.
- W2037494003 cites W2111636711 @default.
- W2037494003 cites W2115854344 @default.
- W2037494003 cites W2127769318 @default.
- W2037494003 cites W2149690083 @default.
- W2037494003 cites W2149873734 @default.
- W2037494003 cites W2151171831 @default.
- W2037494003 doi "https://doi.org/10.4018/ijbce.2013010105" @default.
- W2037494003 hasPublicationYear "2013" @default.
- W2037494003 type Work @default.
- W2037494003 sameAs 2037494003 @default.
- W2037494003 citedByCount "5" @default.
- W2037494003 countsByYear W20374940032015 @default.
- W2037494003 countsByYear W20374940032016 @default.
- W2037494003 countsByYear W20374940032018 @default.
- W2037494003 countsByYear W20374940032020 @default.
- W2037494003 crossrefType "journal-article" @default.
- W2037494003 hasAuthorship W2037494003A5043209594 @default.
- W2037494003 hasConcept C15744967 @default.
- W2037494003 hasConcept C169760540 @default.
- W2037494003 hasConcept C173201364 @default.
- W2037494003 hasConcept C28490314 @default.
- W2037494003 hasConcept C41008148 @default.
- W2037494003 hasConcept C522805319 @default.
- W2037494003 hasConcept C548259974 @default.
- W2037494003 hasConcept C71924100 @default.
- W2037494003 hasConceptScore W2037494003C15744967 @default.
- W2037494003 hasConceptScore W2037494003C169760540 @default.
- W2037494003 hasConceptScore W2037494003C173201364 @default.
- W2037494003 hasConceptScore W2037494003C28490314 @default.
- W2037494003 hasConceptScore W2037494003C41008148 @default.
- W2037494003 hasConceptScore W2037494003C522805319 @default.
- W2037494003 hasConceptScore W2037494003C548259974 @default.
- W2037494003 hasConceptScore W2037494003C71924100 @default.
- W2037494003 hasLocation W20374940031 @default.
- W2037494003 hasOpenAccess W2037494003 @default.
- W2037494003 hasPrimaryLocation W20374940031 @default.
- W2037494003 hasRelatedWork W1494904343 @default.
- W2037494003 hasRelatedWork W2160405996 @default.
- W2037494003 hasRelatedWork W2286908141 @default.
- W2037494003 hasRelatedWork W2335708875 @default.
- W2037494003 hasRelatedWork W2604403669 @default.
- W2037494003 hasRelatedWork W2609679344 @default.
- W2037494003 hasRelatedWork W2657945834 @default.
- W2037494003 hasRelatedWork W2725167617 @default.
- W2037494003 hasRelatedWork W2790316274 @default.
- W2037494003 hasRelatedWork W2912697375 @default.
- W2037494003 hasRelatedWork W2938320352 @default.
- W2037494003 hasRelatedWork W2941156925 @default.
- W2037494003 hasRelatedWork W2945794399 @default.
- W2037494003 hasRelatedWork W2969669427 @default.
- W2037494003 hasRelatedWork W3021125909 @default.
- W2037494003 hasRelatedWork W3133845888 @default.
- W2037494003 hasRelatedWork W3140299542 @default.
- W2037494003 hasRelatedWork W356510048 @default.
- W2037494003 hasRelatedWork W143518040 @default.
- W2037494003 hasRelatedWork W2775528686 @default.
- W2037494003 isParatext "false" @default.
- W2037494003 isRetracted "false" @default.
- W2037494003 magId "2037494003" @default.
- W2037494003 workType "article" @default.