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Monitoring the Behavior of Dynamic Systems by Mapping to the Emotional Space
, M.Sc. Thesis Sharif University of Technology ; Bagheri Shouraki, Saeed (Supervisor)
Abstract
In applications related to measuring and directing the emotions of an individual or a group of people to the desired state (such as monitoring the driver's condition while driving, as an individual, or suppressing inflammation around the financial markets, as a set of individuals), due to the variety of environmental conditions, in each new application, the tools used to detect emotions, or the controllers and stimuli used to steer the situation to the desired state, need to be adapted to the specific conditions of that application or to design again from the beginning. In this study, by designing and performing an experiment on 13 people, by looking at the individual (or group of people in...
Emotion Recognition from EEG Signals using Tensor based Algorithms
, M.Sc. Thesis Sharif University of Technology ; Hajipour, Sepideh (Supervisor)
Abstract
The brain electrical signal (EEG) has been widely used in clinical and academic research, due to its ease of recording, non-invasiveness and precision. One of the applications can be emotion recognition from the brain's electrical signal. Generally, two types of parameters (Valence and Arousal) are used to determine the type of emotion, which, in turn, indicate "positive or negative" and "level of extroversion or excitement" for a specific emotion. The significance of emotion is determined by the effects of this phenomenon on daily tasks, especially in cases where the person is confronted with activities that require careful attention and concentration.In the emotion recognition problem,...