Modelling Human Motion From Human Perception to Robot Design

Human motion understanding has been studied for decades but yet it remains a challenging research field which attracts the interest from different disciplines.

This book wants to provide a comprehensive view on this topic, closing the loop between perception and action, starting from humans’ action perception skills and then moving to computational models of motion perception and control adopted in robotics. To achieve this aim, the book collects contributions from experts in different fields, spanning neuroscience, computer vision and robotics. The first part focuses on the features of human motion perception and its neural underpinnings.

The second part considers motion perception from the computational perspective, providing a view on cutting-edge machine learning solutions. Finally, the third part takes into account the implications for robotics, exploring how motion and gestures should be generated by communicative artificial agents to establish intuitive and effective human–robot interaction.