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- Article name
- Neural network system in glasses for electroencephalography analysis and control of external objects
- Authors
- Khakimzyanova S. I., , khakimsiiln04@mail.ru, Kazan National Research Technical University named after A. N. Tupolev - KAI, Kazan, Russia
Garafutdinov A. A., , ayzat2017@mail.ru, FSBEI HE «Kazan National Research Technical University named after A.N. Tupolev-KAI», Kazan, Russia
- Keywords
- neural networks / electroencephalography / brain activity / sensors / specialized glasses / wireless data transmission / convolutional and recompetitive layers
- Year
- 2024 Issue 3 Pages 28 - 31
- Code EDN
- VSAYYC
- Code DOI
- 10.52190/2073-2600_2024_3_28
- Abstract
- This article discusses the development of glasses with integrated electroencephalography (EEG) sensors and an integrated neural network, which are a high-tech device for recording and analyzing brain activity in real time. All computing processes take place inside the glasses, which allows the processed information to be transmitted to external devices, such as bionic prostheses, to control their movements. The paper proposes algorithms based on convolutional and recurrent neural networks that provide high classification accuracy and can be applied outside laboratory conditions. The results of the study highlight the potential of using neural network technologies to create brain-computer interfaces and their application in medicine.
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