Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313854580> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4313854580 abstract "Brain-computer interface (BCI) is a promising technology that controls computers or machines using brain signals. With this technology, people with various disabilities, such as neural paralysis, and spinal cord injury can control electric devices or express their intention by thinking. However, previous BCI studies have a limitation that they can predict only one type of intention. To use the BCI system in daily life, the BCI user should be able to achieve various tasks such as moving, text typing, and arm movements. In this paper, we propose a multi-functional BCI method that can predict various intentions simultaneously. To classify multiple intentions, we proposed two prediction models using Neural Networks (NN) and Convolutional Neural Networks (CNN) models. To evaluate the proposed BCI system, the classification accuracy of the model was measured and compared using steady state visually evoked potential (SSVEP), sensory motor rhythm (SMR), and both of them (Multiple Intention). The average prediction accuracies were 22.46% in NN, 55.86% in CNN. These results indicate that the proposed multi-functional BCI can predict multiple intentions. It also means that users of the proposed BCI system can control various electric devices simultaneously." @default.
- W4313854580 created "2023-01-10" @default.
- W4313854580 creator A5007790149 @default.
- W4313854580 creator A5027965920 @default.
- W4313854580 creator A5051096809 @default.
- W4313854580 date "2022-11-27" @default.
- W4313854580 modified "2023-10-18" @default.
- W4313854580 title "Multi-Functional Brain Computer Interface Using Convolutional Neural Networks" @default.
- W4313854580 cites W1967545169 @default.
- W4313854580 cites W1968916327 @default.
- W4313854580 cites W1978997901 @default.
- W4313854580 cites W1983675348 @default.
- W4313854580 cites W1985638190 @default.
- W4313854580 cites W2033587657 @default.
- W4313854580 cites W2046087145 @default.
- W4313854580 cites W2071598601 @default.
- W4313854580 cites W2105315435 @default.
- W4313854580 cites W2126617441 @default.
- W4313854580 cites W2140310204 @default.
- W4313854580 cites W2179936331 @default.
- W4313854580 cites W2605492512 @default.
- W4313854580 cites W2741907166 @default.
- W4313854580 cites W2772781193 @default.
- W4313854580 cites W2790000298 @default.
- W4313854580 cites W2793083319 @default.
- W4313854580 cites W2793912969 @default.
- W4313854580 cites W2896628614 @default.
- W4313854580 cites W2901626219 @default.
- W4313854580 cites W2905523904 @default.
- W4313854580 cites W2908951870 @default.
- W4313854580 cites W2912885887 @default.
- W4313854580 cites W2921512038 @default.
- W4313854580 cites W2939712015 @default.
- W4313854580 cites W2974652936 @default.
- W4313854580 cites W2979974090 @default.
- W4313854580 cites W2998796551 @default.
- W4313854580 cites W3003928016 @default.
- W4313854580 cites W3084098558 @default.
- W4313854580 cites W3155630319 @default.
- W4313854580 doi "https://doi.org/10.23919/iccas55662.2022.10003911" @default.
- W4313854580 hasPublicationYear "2022" @default.
- W4313854580 type Work @default.
- W4313854580 citedByCount "0" @default.
- W4313854580 crossrefType "proceedings-article" @default.
- W4313854580 hasAuthorship W4313854580A5007790149 @default.
- W4313854580 hasAuthorship W4313854580A5027965920 @default.
- W4313854580 hasAuthorship W4313854580A5051096809 @default.
- W4313854580 hasConcept C113843644 @default.
- W4313854580 hasConcept C118552586 @default.
- W4313854580 hasConcept C119857082 @default.
- W4313854580 hasConcept C129307140 @default.
- W4313854580 hasConcept C154945302 @default.
- W4313854580 hasConcept C15744967 @default.
- W4313854580 hasConcept C157915830 @default.
- W4313854580 hasConcept C173201364 @default.
- W4313854580 hasConcept C173608175 @default.
- W4313854580 hasConcept C41008148 @default.
- W4313854580 hasConcept C50644808 @default.
- W4313854580 hasConcept C522805319 @default.
- W4313854580 hasConcept C81363708 @default.
- W4313854580 hasConceptScore W4313854580C113843644 @default.
- W4313854580 hasConceptScore W4313854580C118552586 @default.
- W4313854580 hasConceptScore W4313854580C119857082 @default.
- W4313854580 hasConceptScore W4313854580C129307140 @default.
- W4313854580 hasConceptScore W4313854580C154945302 @default.
- W4313854580 hasConceptScore W4313854580C15744967 @default.
- W4313854580 hasConceptScore W4313854580C157915830 @default.
- W4313854580 hasConceptScore W4313854580C173201364 @default.
- W4313854580 hasConceptScore W4313854580C173608175 @default.
- W4313854580 hasConceptScore W4313854580C41008148 @default.
- W4313854580 hasConceptScore W4313854580C50644808 @default.
- W4313854580 hasConceptScore W4313854580C522805319 @default.
- W4313854580 hasConceptScore W4313854580C81363708 @default.
- W4313854580 hasLocation W43138545801 @default.
- W4313854580 hasOpenAccess W4313854580 @default.
- W4313854580 hasPrimaryLocation W43138545801 @default.
- W4313854580 hasRelatedWork W2337926734 @default.
- W4313854580 hasRelatedWork W2917517086 @default.
- W4313854580 hasRelatedWork W2963958939 @default.
- W4313854580 hasRelatedWork W3021430260 @default.
- W4313854580 hasRelatedWork W3027997911 @default.
- W4313854580 hasRelatedWork W4287776258 @default.
- W4313854580 hasRelatedWork W4312501200 @default.
- W4313854580 hasRelatedWork W4313050734 @default.
- W4313854580 hasRelatedWork W4320802194 @default.
- W4313854580 hasRelatedWork W1629725936 @default.
- W4313854580 isParatext "false" @default.
- W4313854580 isRetracted "false" @default.
- W4313854580 workType "article" @default.