An Eye Tracking and Brain-computer Interface Based Human-environment Interactive System for Amyotrophic Lateral Sclerosis Patients
Author:
Affiliation:
1. School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China
Funder
Beihang University
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/4427201/09966509.pdf?arnumber=9966509
Cited by 5 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. Machine learning and brain-computer interface approaches in prognosis and individualized care strategies for individuals with amyotrophic lateral sclerosis: A systematic review;MethodsX;2024-12
2. Eye tracking-based evaluation of accessible and usable interactive systems: tool set of guidelines and methodological issues;Universal Access in the Information Society;2024-01-11
3. Head Pose-Aware Regression for Pupil Localization From a-Pillar Cameras;IEEE Access;2024
4. A Hybrid BCI Integrating EEG and Eye-Tracking for Assisting Clinical Communication in Patients With Disorders of Consciousness;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
5. Towards Design and Implementation of an EEG-based BCI TV Remote Control;International Journal of Online and Biomedical Engineering (iJOE);2023-08-01
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