An adaptable emotionally rich pervasive computing system

Different people express their feelings in a different way under different circumstances. For this reason, an adaptable architecture is proposed in this paper able to automatically update its performance to a particular individual. This means that the system takes into account the specific user's characteristics and properties and adapts its performance to the specific user's needs and preferences. The architecture also takes into account the context of the environment, which significantly affects the way that people express their emotions (family, friends, working environment). As a result, the same expressions may lead to different emotional states in accordance to the specific environment to these feelings are expressed. The adaptation is performed using concepts derived from functional analysis. The presented adaptable architecture requires low memory and processing capabilities and thus it can be embedded in smart pervasive devices of low processing requirements. Experimental results on real-life databases illustrate the efficiency of the proposed scheme in recognizing the emotion of different people or even the same under different circumstances.