IoT in Brain-Computer Interfaces for Enabling Communication and Control for the Disabled-Reference-Cited by-同舟云学术

IoT in Brain-Computer Interfaces for Enabling Communication and Control for the Disabled

Published:2024-04-12 Issue: Volume: Page:502-507
ISSN:
Container-title:2024 10th International Conference on Communication and Signal Processing (ICCSP)
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Author:

Rajarajan S.¹,Kowsalya T.²,Gupta Nukala Sujata³,Suresh P M⁴,Ilampiray P⁵,Murugan S.⁶

Affiliation:

1. Sri Sai Ram Institute of Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. Muthayammal Engineering College, (Autonomous),Department of Electronics and Communication Engineering,Namakkal,Tamil Nadu,India

3. Chaitanya Bharathi Institute of Technology,Department of Computer Engineering and Technology,Hyderabad,Telangana,India

4. Sphoorthy Engineering College,Department of CSE-Cyber Security,Hyderabad,Telangana,India

5. R.M.K. Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

6. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Biomedical Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543256/10543221/10543610.pdf?arnumber=10543610

Reference20 articles.

1. Brain-Computer Interface Control in a Virtual Reality Environment and Applications for the Internet of Things

2. Optimizing Electric Vehicle Charging Networks Using Clustering Technique

3. Cloud-Enabled Neural Networks for Intelligent Vehicle Emissions Tracking and Analysis

4. A Brain-Computer Interface for Controlling IoT Devices using EEG Signals

5. IoT Enabled Space Vector Modulation Control for Multilevel Converters in Renewable Energy Systems