Performance comparison of a non-invasive P300-based BCI mouse to a head-mouse for people with SCI-Reference-Cited by-同舟云学术

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Performance comparison of a non-invasive P300-based BCI mouse to a head-mouse for people with SCI

Published:2020-01-23 Issue:1-2 Volume:7 Page:1-10
ISSN:2326-263X
Container-title:Brain-Computer Interfaces
language:en
Short-container-title:Brain-Computer Interfaces

Author:

Dutt-Mazumder Aviroop¹^ORCID,Huggins Jane E.¹²³^ORCID

Affiliation:

1. Department of Physical Medicine & Rehabilitation, University of Michigan , Ann Arbor, MI, USA

2. Department of Biomedical Engineering, University of Michigan , Ann Arbor, MI, USA

3. Neuroscience Graduate Program, University of Michigan , Ann Arbor, MI, USA

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Behavioral Neuroscience,Human-Computer Interaction,Biomedical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/2326263X.2020.1716532

Reference32 articles.

1. Disability Research and Policy

2. Brain–computer interfaces for communication and control

3. Toward Direct Brain-Computer Communication

4. Real-time detection of brain events in EEG

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1. Comparative study of EEG motor imagery classification based on DSCNN and ELM;Biomedical Signal Processing and Control;2023-07

2. Effective 2-D cursor control system using hybrid SSVEP + P300 visual brain computer interface;Medical & Biological Engineering & Computing;2022-09-24

3. The perspectives of augmentative and alternative communication experts on the clinical integration of non-invasive brain-computer interfaces;Brain-Computer Interfaces;2022-04-11

4. Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier;Brain-Computer Interfaces;2022-02-08

5. A Hardware in Loop Simulation Robot Control by Weareable Electroencephalography (EEG)-Based Brain Computer Interface (BCI);2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS);2021-12-29

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