dr Jesus Salvador Garcia Salinas
Employment
- Assistant professor at Department of Multimedia Systems
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Assistant professor
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Budynek A Elektroniki
room EA 628 open in new tab
Publication showcase
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Transfer learning in imagined speech EEG-based BCIs
The Brain–Computer Interfaces (BCI) based on electroencephalograms (EEG) are systems which aim is to provide a communication channel to any person with a computer, initially it was proposed to aid people with disabilities, but actually wider applications have been proposed. These devices allow to send messages or to control devices using the brain signals. There are different neuro-paradigms which evoke brain signals of interest...
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Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
Brain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....
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Tensor Decomposition for Imagined Speech Discrimination in EEG
Most of the researches in Electroencephalogram(EEG)-based Brain-Computer Interfaces (BCI) are focused on the use of motor imagery. As an attempt to improve the control of these interfaces, the use of language instead of movement has been recently explored, in the form of imagined speech. This work aims for the discrimination of imagined words in electroencephalogram signals. For this purpose, the analysis of multiple variables...
Obtained scientific degrees/titles
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2022-04-07
Obtained science degree
dr information and communication technology (Engineering and Technology)National Institute of Astrophysics Optics and Electronics, Mexico
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