Deep Learning AI Application to an EEG driven BCI Smart Wheelchair-Reference-Cited by-同舟云学术

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Deep Learning AI Application to an EEG driven BCI Smart Wheelchair

Published:2019-03 Issue: Volume: Page:
ISSN:
Container-title:2019 Advances in Science and Engineering Technology International Conferences (ASET)
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Author:

Zgallai Walid,Brown John Teye,Ibrahim Afnan,Mahmood Fatma,Mohammad Khulood,Khalfan Maitha,Mohammed Maryam,Salem Maryam,Hamood Noof

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8710173/8714197/08714373.pdf?arnumber=8714373

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Communication breakdown: Gaze-based prediction of system error for AI-assisted robotic arm simulated in VR;Proceedings of the 2024 Symposium on Eye Tracking Research and Applications;2024-06-04

2. Novel Extension Control Instrument for Power Wheelchair Based on Kalman Filter Head Motion Detection;Actuators;2024-04-11

3. Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review;Artificial Intelligence Review;2024-02-13

4. Navigation Learning Assessment Using EEG-Based Multi-Time Scale Spatiotemporal Compound Model;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

5. SecGes: A Secure Biometric-Driven Hand Gesture Recognition System for Smart Wheelchair Movement;2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS);2023-12-17

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