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Title: Analysis of Brain Signals to Forecast Motor Intentions Using Artificial Intelligence
Authors: Ajali, Nabil I.
Travieso-González, Carlos M. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Brain Computer Interface
Brain Signals
Industry 4.0
Machine Learning
Society 5.0
Issue Date: 2023
Journal: Sustainable Computing: Transforming Industry 4.0 To Society 5.0
Abstract: In order to improve lifestyle of people with motor disabilities, Brain Computer Interfaces are a potential solution. BCIs seek to achieve control of a machine through the use of brain waves. In this work, a brief historical review of the state of the art in the field of BCIs is made in this work. How brain signal processing is carried out to finally obtain a BCI tool is shown. The feature extractions and the main machine learning classification methods for classifications are seen. Finally, a classification of a public EEG dataset (Physionet) is carried out to and compared with other systems as an example. Thus, showing the general aspects of the development of a BCI systems, which will be part of technologies in society 5.0.
ISBN: 9783031135774
DOI: 10.1007/978-3-031-13577-4_2
Source: Sustainable Computing: Transforming Industry 4.0 to Society 5.0, p. 31-47, (Enero 2023)
Appears in Collections:Capítulo de libro
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