Book on Human Factors in Intelligent Vehicles 2019

Description

Our brain is the main factor for the accomplishment of any task in the daily life of the human being, therefore, the patterns of mental thought, which are represented in the neuronal signals, can be used to improve the life of both healthy and disabled users. Brain-Computer Interfaces (BCI) are used for the reading of brain waves. These sensors allow communication between a computer and the human brain. With them, brain activity readings are obtained to analyze patterns of electrical activity, or encephalograms (EEG), that reflect certain brain orders. In this work we review some of the most sophisticated and relevant techniques in the classification of these patterns to control. It also proposes a new method of classifying brain patterns with the use of a low-cost helmet and convolutional neural networks (CNN). The results obtained are very significant since on the one hand they demonstrate the improvement of the prediction with this type of networks, and they indicate us that it is preferable to train a model by subject, although not completely necessary.

Period	01 Oct 2019 → 13 Nov 2019
Work for	unbekannt/unknown