Electrode replacement does not affect classification accuracy in dual-session use of a passive brain-computer interface for assessing cognitive workload-Reference-Cited by-同舟云学术

Electrode replacement does not affect classification accuracy in dual-session use of a passive brain-computer interface for assessing cognitive workload

Published:2015-03-09 Issue: Volume:9 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Estepp Justin R.,Christensen James C.

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference86 articles.

1. BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?;Allison;IEEE Trans. Neural Syst. Rehabil. Eng,2010

2. Real-time analysis of EEG indexes of alertness, cognition, and memory acquired with a wireless EEG headset;Berka;Int. J. Hum. Comput. Interact,2004

3. Brain activity-based image classification from rapid serial visual presentation;Bigdely-Shamlo;IEEE Trans. Neural Syst. Rehabil. Eng,2008

4. Classifying single trial EEG: Towards brain computer interfacing;Blankertz;Adv. Neural Inf. Process. Syst,2002

Cited by 16 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. Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review;Artificial Intelligence Review;2024-02-13

2. Personalized Deep Learning using Passive Sensing and Ecological Momentary Assessments for Substance Users in Hawaii: A Research Protocol (Preprint);JMIR Research Protocols;2023-08-25

3. Personalized Machine Learning using Passive Sensing and Ecological Momentary Assessments for Meth Users in Hawaii: A Research Protocol (Preprint);2023-08-25

4. A Comparative Analysis of Machine and Deep Learning Techniques for EEG Evoked Emotion Classification;Wireless Personal Communications;2022-10-14

5. Predicting and mitigating fatigue effects due to sleep deprivation: A review;Frontiers in Neuroscience;2022-08-05