Development of a Calibration-Free Brain-Computer Interface Utilizing Common Spatial Patterns and Artificial Neural Networks for EEG Signal Analysis-Reference-Cited by-同舟云学术

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Development of a Calibration-Free Brain-Computer Interface Utilizing Common Spatial Patterns and Artificial Neural Networks for EEG Signal Analysis

Published:2024-05-23 Issue: Volume:19 Page:1-6
ISSN:
Container-title:2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Cengiz Korhan¹,J Shreyas²,K Udayaprasad P³,L Gururaj H²,M Dilip Kumar S⁴

Affiliation:

1. College of Information Technology University of Fujairah,UAE

2. Manipal Academy of Higher Education,Manipal Institute of Technology Bengaluru,Department of Information Technology,Manipal,Karnataka,India,576104

3. Global Academy of Technology,Department of Artificial Intelligence & Machine Learning,Bengaluru,India

4. University Visvesvaraya College of Engineering,Dept. of Computer Science and Engineering,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550192/10550449/10550748.pdf?arnumber=10550748

Reference15 articles.

1. Congestion Aware Algorithm using Fuzzy Logic to Find an Optimal Routing Path for IoT Networks

2. Selection of Optimal Path for the Communication of Multimedia Data in Internet of Things

3. An energy efficient optimal path selection technique for IoT using genetic algorithm

4. Brain computer interfacing: Applications and challenges

5. Brain Computer Interface (BCI) Applications: Privacy Threats and Countermeasures

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