Published 2021
| Version v1
Publication
A BCI driving system to understand brain signals related to steering
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Description
In the last years, the manufactured vehicles were designed to focus on prevention of some risky situations caused by a human driver. The aim of this paper is to illustrate the design and implementation of a BCI system which can detect the arm movements by the EEG signal during a simulated driving session. The proposed approach to realize a classifier able to recognize the arm movement by EEG feature analysis is based on the consecutive application of a Time Delay Neural Network (TDNN) and a Pattern Recognition Neural Network (PRNN). Preliminary tests are shown on three different participants between 24 and 45 years old.
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- URL
- https://hdl.handle.net/11567/1078328
- URN
- urn:oai:iris.unige.it:11567/1078328