Advancing Brain-Computer Interaction: EEG-based Eye Movement Recognition with AI-Reference-Cited by-同舟云学术

Advancing Brain-Computer Interaction: EEG-based Eye Movement Recognition with AI

Published:2024-04-24 Issue: Volume: Page:44-48
ISSN:
Container-title:2024 International Conference on Inventive Computation Technologies (ICICT)
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Author:

Kumar Saidala Ravi¹,Ramnath M.²,R Komala C³,Gowri Vidhya N.⁴,Taqui Syed Noeman⁵,M Rajendiran⁶

Affiliation:

1. Alliance University,Department of Computer Science and Engineering,Bangalore,Karnataka,India,560076

2. Ramco Institute of Technology,Department of Artificial Intelligence and Data Science,Rajapalayam,Tamil Nadu,India,626117

3. HKBK College of Engineering,Department of Information Science and Engineering,Bengaluru,India,560 045

4. St. Joseph's Institute of Technology, OMR,Department of Information Technology,Chennai,Tamil Nadu,India,600119

5. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of VLSI Microelectronics,Chennai,Tamil Nadu,India,602105

6. Panimalar Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,600123

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543255/10544376/10544675.pdf?arnumber=10544675

Reference14 articles.

1. Application of eye tracking in medicine: A survey, research issues and challenges

2. Brain computer interface systems using non-invasive electroencephalogram signal: A literature review

3. A resource for assessing information processing in the developing brain using EEG and eye tracking

4. Towards a Multimodal Model of Cognitive Workload Through Synchronous Optical Brain Imaging and Eye Tracking Measures

5. Eye state recognition based on deep integrated neural network and transfer learning