An Adaptive-Load Classifier Based on Cognitive Load Similarity-Reference-Cited by-同舟云学术

An Adaptive-Load Classifier Based on Cognitive Load Similarity

Published:2023-09-15 Issue:18 Volume:23 Page:21978-21988
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Song Zhiyong¹^ORCID,Li Mengfan¹^ORCID,Wu Lingyu¹,Wu Yuwei²,Xu Guizhi¹^ORCID,Lin Fang³,Liao Wenzhe⁴

Affiliation:

1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Science and Biomedical Engineering, Hebei University of Technology, Tianjin, China

2. Patent Examination Cooperation Guangdong Center of the Patent Office, Shenzhen, China

3. Neuracle Technology (Changzhou) Company Ltd., Beijing, China

4. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

Funder

Natural Science Foundation of Hebei Province

Technology Nova of Hebei University of Technology

State Key Laboratory of Reliability and Intelligence of Electrical Equipment

National Natural Science Foundation of China

Key Research and Development Foundation of Hebei

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10251409/10198410.pdf?arnumber=10198410

Reference35 articles.

1. EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces

2. Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing

3. A Spelling Paradigm With an Added Red Dot Improved the P300 Speller System Performance

4. Interrater Agreement of EEG Interpretation After Pediatric Cardiac Arrest Using Standardized Critical Care EEG Terminology

5. A Self-Adaptive Online Brain–Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System

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