Mental Fatigue Evaluation for Passive and Active BCI Methods for Wheelchair-Robot During Human-in-the-Loop Control-Reference-Cited by-同舟云学术

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Mental Fatigue Evaluation for Passive and Active BCI Methods for Wheelchair-Robot During Human-in-the-Loop Control

Published:2023-10-25 Issue: Volume: Page:787-792
ISSN:
Container-title:2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Omer Karameldeen¹,Vella Francesco¹,Ferracuti Francesco¹,Freddi Alessandro¹,Iarlori Sabrina¹,Monteriù Andrea¹

Affiliation:

1. Università Politecnica delle Marche,Department of Information Engineering,Ancona,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405785.pdf?arnumber=10405785

Reference23 articles.

1. Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

2. Augmenting robot intelligence via EEG signals to avoid trajectory planning mistakes of a smart wheelchair

3. Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review

4. Brain-Computer Interface: Advancement and Challenges

5. Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges

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