In this paper, we propose a hybrid architecture for detection of human emotions. The architecture represents an effective tool for real-time processing of customer's behaviour for distributed on-land systems, such as kiosks and ATMs. The proposed approach combines most recent biometric techniques with the NN approach for real-time emotion and behavioural analysis. The architecture of the system represents the combination of radial basis function neural networks with selforganised maps (RBF-SOM).