LAUSR

Abstract This paper is devoted to the relevant problem of the astronaut's emotional states identification. The latest research in this domain have revealed the tendency of the emotional state definition via facial expression recognition. Besides, some other technologies are applied: heartrate monitors, brain activity analyzers, speech tone recognition, etc. Nevertheless, the problem of the emotional state monitoring relates to the classification one, so, a wide range of solutions has been proposed, including artificial neural networks, K-nearest neighbors, fuzzy logic and others. The main contribution of this paper is the development of the cognitive-map based classifier. The results of testing demonstrate the robustness and the adequacy of the cognitive map proposed.