Adaptive Facial Behaviour using Selected Machine Learning Methods

In the not so distant future, robots looking like humans may be part of our everyday lifestyle. Then it would be important that they provide a natural behaviour and mimic. To make this possible, the way artificial skin is controlled by a number of actuators would have to be addressed. In this paper, we compare a number of partly novel algorithms for adapting to a number of different eye brow expressions. The results indicate that the novel algorithms perform better than the existing algorithms.