Unsupervised emotional state classification through physiological parameters for social robotics applications

Future social robots should have personalized behaviors based on user emotional state to fit more in ordinary users’ activities and to improve the human–robot interaction. Several, literature works use cameras to record emotions. However, these approaches may not be effective in everyday life, due to camera obstructions and different types of stimulation, which can be related also with the interaction with other human beings. Therefore, in this...