An experience of the cognitive map-based classifier usage in astronaut's emotional state monitoring

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. •Constant monitoring of the astronauts emotional state is a topical problem.•Cognitive maps was not used as a classifier for emotions recognition.•A cognitive map of a particular developed structure can be used as a classifier.•A complex cognitive map-based technique to monitor the astronauts emotional state is proposed.