Detecting mental states of alertness with genetic algorithm variable selection

• Published in: 2013 IEEE Congress on Evolutionary Computation pp. 1247 - 1254
• Main Authors: Vezard, Laurent, Chavent, Marie, Legrand, Pierrick, Faita-Ainseba, Frederique, Trujillo, Leonardo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2013
• Subjects: Bioinformatics; Data acquisition; Electrodes; Electroencephalography; Genetic algorithms; Genomics; Hidden Markov models

The objective of the present work is to develop a method able to automatically determine mental states of vigilance; i.e., a person's state of alertness. Such a task is relevant to diverse domains, where a person is expected or required to be in a particular state. For instance, pilots or medic...