What is Radial Basis Function

It is essential to distinguish between an imposter and a genuine emotion in certain applications. To facilitate this, the number of features is increased by incorporating physiological signals. Physiological changes in the human body cannot be pretended. Human emotional behavior changes the heart rate, skin resistance, finger temperature, EEG etc. These physiological signal parameters can be measured and included as the final feature vector. The network is to be trained considering all the feature points as inputs with a radial basis activation function at the hidden layer and a linear activation function at the output layer. The two physiological parameters galvanic skin response (GSR) and finger tip temperature (FTT) that are predominant in deciding the emotion of a person are considered in this chapter. The measurements made are transmitted to LabVIEW add-on card for further data processing and analysis. The results obtained are nearer to the reality with a good measure of accuracy.