2 Machine learning approach to automatic recognition of emotions based on bioelectrical brain activity [chapter]

2020 Simulations in Medicine  
The feeling and the expression of emotions are the basic skills of social interaction. People with disorders such as autism, attention deficit/hyperactivity disorder, or depression may experience social marginalization because of problems with these skills. Automatic emotion recognition systems may help in diagnosis, monitoring, and rehabilitation. Specific patterns of bioelectrical brain activity in response to affective stimuli (facial expressions, music, and videos) are biomarkers of
more » ... d emotions. The analysis of these patterns in the time domain (event-related potentials) or frequency (brain waves) is complicated because of the scale and complexity and our incomplete knowledge about the processes taking place in the brain. Nowadays machine learning methods, including deep learning, come with help along with the growing amount of available data. In this study, the state-of-the-art methods for the recognition of emotions based on electroencephalography data will be presented.
doi:10.1515/9783110667219-002 fatcat:23zmbmlnkfe5hdadjx5sqpeb5i