Emotion Recognition of Physiological Signals Based on Adaptive Hierarchical Genetic Algorithm

摘要

For the problem of emotion recognition of physiological signals, an introduction to adaptive hierarchical genetic algorithm is put forward. With the help of feature selection to the physiological signals, the optimization problem can easily be solved. It's shown in the simulation that using the features obtained from the experimental simulation to recognize the emotion states is effective.