—Addressing the structural and functional variability between subjects for robust affective brain-computer interface (aBCI) is challenging but of great importance, since the cali...
Abstract—Imitation is an important aspect of emotion recognition. We present an expression training interface which evaluates the imitation of facial expressions and head movemen...
—Automatic emotion recognition from speech has matured close to the point where it reaches broader commercial interest. One of the last major limiting factors is the ability to d...
— Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disabilities with a high prevalence rate. While much research has focused on improving social communication defi...
—This research employs an expressive robot to elicit affective response in young children and explore correlations between autonomously-detected play, affective response and deve...
—In this paper, we propose a computational model that provides an Embodied Conversational Agent (ECA) with the ability to generate verbal other-repetition (repetitions of some of...
—We demonstrate PhysSigTK, a physiological signals toolkit for making low-cost hardware accessible in the Unity3D game development environment so that designers of affective game...
—This study presents a proof-of-concept study to assess the prediction of emotional perceptive competency and implicit affective preferences from each other. Predictions are made...
—In order to model students’ happiness, we apply machine learning methods to data collected from undergrad students monitored over the course of one month each. The data collec...