Research progress on attention level evaluation based on electroencephalogram signals.
10.7507/1001-5515.202208085
- Author:
Wenyang YANG
1
;
Wenxuan ZHANG
1
Author Information
1. College of Computer, Xi'an Shiyou University, Xi'an 710065, P. R. China.
- Publication Type:Journal Article
- Keywords:
Attention level evaluation;
Electroencephalogram signals;
Feature extraction;
Feature selection
- MeSH:
Humans;
Reproducibility of Results;
Electroencephalography
- From:
Journal of Biomedical Engineering
2023;40(4):820-828
- CountryChina
- Language:Chinese
-
Abstract:
Attention level evaluation refers to the evaluation of people's attention level through observation or experimental testing, and its research results have great application value in education and teaching, intelligent driving, medical health and other fields. With its objective reliability and security, electroencephalogram signals have become one of the most important technical means to analyze and express attention level. At present, there is little review literature that comprehensively summarize the application of electroencephalogram signals in the field of attention evaluation. To this end, this paper first summarizes the research progress on attention evaluation; then the important methods for electroencephalogram attention evaluation are analyzed, including data preprocessing, feature extraction and selection, attention evaluation methods, etc.; finally, the shortcomings of the current development in the field of electroencephalogram attention evaluation are discussed, and the future development trend is prospected, to provide research references for researchers in related fields.
