Human communication is multimodal per se, that is human effectively communicate meaning, feelings and emotions through multiple sensory channels such as speech, movement, and facial expressions. A lot of effort has been devoted to conceive intelligent machines able to capture, represent, and automatically analyze the multimodal behavior of their users in order to engage them in a multimodal dialog aimed at establishing a natural interaction. This course provides students with foundational conceptual knowledge, methodologies, and tools for designing, implementing, and evaluating such kind of intelligent machines.

This course will present some basic learning algorithms (linear regression, logistic regression, SVM, Bayesian Networks, etc.). Students will have the chance to implement and try some of these algorithms on simple examples. Very wide application fields in robotics and social robotics will be presented.