Dynamic Emotion Estimation Based on Physiological Signals

Juhuan Ye
Affective computing is becoming more and more popular, and the need to find a user-friendly and reliable method of estimating people’s emotions, in their everyday life, is growing. Traditional methods have reached their limits, and this thesis presents a new system of emotion recognition, though physiological signals. With a user-friendly, wearable device, the system can be deployed in a number of fields. A model for our emotion classification is presented and includes the following emotions:...
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