We present an approach to teach incrementally human gestures to a humanoid robot. The learning process consists of first projecting the movement data in a latent space and encodin...
This paper describes an intelligent system that we developed to support affective multimodal human-computer interaction (AMM-HCI) where the user’s actions and emotions are modele...
This study exploits statistical redundancy inherent in natural language to automatically predict scores for essays. We use a hybrid feature identification method, including syntac...
Jill Burstein, Karen Kukich, Susanne Wolff, Chi Lu...
In this paper, we describe a new force-feedback technique termed "inverted damping", which aids users in manually selecting specific items from within a range of possibl...
: The interest of the scientific community for anthropocentric (human-centered) video analysis stems from the fact that the extracted information (e.g. human presence, identity, bo...