Open AccessPsychological Test System and Signal Processing Algorithm for Intelligent Wheelchair
Author(s) -
Bo Xu,
Yarong Hu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1578/1/012101
Subject(s) - wheelchair , test (biology) , set (abstract data type) , computer science , psychological research , psychology , brain–computer interface , feature (linguistics) , electroencephalography , artificial intelligence , algorithm , social psychology , psychiatry , world wide web , biology , programming language , linguistics , philosophy , paleontology
Intelligent wheelchair based on BCI is a hot spot in recent research, and brain activity is actually a reflection of psychological activity. Completing the design of psychological test system is the key to BCI. ERP reflects the psychological activity of the brain, is a psychological test good tools such as cognitive neuroscience research. And there is psychological test system is mostly based on the traditional theory of external behavior inference, unable to objectively evaluate people’s psychological activity. In the study of psychological tests and event related potential theory, the article improved FastICA algorithm, and applied to feature extraction of ERP. Eventually set up a complete set of psychological test system. Experiments show that the system can effectively detect the ERP feature extraction, and faster, better than other conventional psychological test system. So as to lay the foundation for the completion of the design of Intelligent wheelchair.