EEG-based Brain-Computer Interface System via Time-Locked Visual Attention for Assistive Device Control-Reference-Cited by-同舟云学术

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EEG-based Brain-Computer Interface System via Time-Locked Visual Attention for Assistive Device Control

Published:2024-05-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
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Author:

Tohkhwan Natjamee¹,Bouyam Charoenporn¹,Saichoo Theerat¹,Siribunyaphat Nannaphat²,Borirakarawin Manorot³,Punsawad Yunyong⁴

Affiliation:

1. School of Informatics, Walailak University,Nakhon Si Thammarat,Thailand

2. College of Innovative Technology and Engineering, Dhurakij Pundit University,Bangkok,Thailand

3. Nakhon Si Thammarat Rajabhat University,Faculty of Science and Technology,Nakhon Si Thammarat,Thailand

4. Informatics Innovative Center Excellence School of Informatics, Walailak University,Nakhon Si Thammarat,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10594802/10594778/10594880.pdf?arnumber=10594880

Reference22 articles.

1. Department of Empowerment of Persons with Disabilities,2016

2. Survey of Numerous Accessible Applications for Paralysis Patients

3. Machine Learning Application: A Bibliometric Analysis From a Half-Century of Research on Stroke

4. Past, Present, and Future of EEG-Based BCI Applications

5. Review on EEG-BCI classification techniques advancements

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