A face-machine interface utilizing EEG artifacts from a neuroheadset for simulated wheelchair control-Reference-Cited by-同舟云学术

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A face-machine interface utilizing EEG artifacts from a neuroheadset for simulated wheelchair control

Published:2021 Issue:1 Volume:14 Page:1-10
ISSN:1178-5608
Container-title:International Journal on Smart Sensing and Intelligent Systems
language:en
Short-container-title:

Author:

Saichoo Theerat,Boonbrahm Poonpong,Punsawad Yunyong

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

https://www.exeley.com/exeley/journals/in_jour_smart_sensing_and_intelligent_systems/14/1/pdf/10.21307_ijssis-2021-015.pdf

Reference21 articles.

1. Brain computer interface: applications and challenges;Egyptian Informativs Journal,2015

2. A review of hybrid brain-computer interface systems;Advances in Human-Computer Interaction,2013

3. A multimodal wheelchair control system based on EEG signals and eye tracking fusion,2015

4. BNCI Horizon 2020 – “Towards a roadmap for brain/neural computer interaction,2014

5. Brain-computer interface-based humanoid control: a review,2020

Cited by 3 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. Brain–Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control;Sensors;2023-02-12

2. Investigating User Proficiency of Motor Imagery for EEG-Based BCI System to Control Simulated Wheelchair;Sensors;2022-12-13

3. Human–machine interface-based wheelchair control using piezoelectric sensors based on face and tongue movements;Heliyon;2022-11

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