Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Naturalistic stimuli such as movies, music, and spoken and written stories elicit strong
emotions and allow brain imaging of emotions in close-to-real-life conditions. Emotions are …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Automatic affect analysis has attracted great interest in various contexts including the
recognition of action units and basic or non-basic emotions. In spite of major efforts, there …

Research in affective computing requires ground truth data for training and benchmarking
computational models for machine-based emotion understanding. In this paper, we propose …

From a computational viewpoint, emotions continue to be intriguingly hard to understand. In
research, a direct and real-time inspection in realistic settings is not possible. Discrete …

Computational representation of everyday emotional states is a challenging task and,
arguably, one of the most fundamental for affective computing. Standard practice in emotion …

Representing computationally everyday emotional states is a challenging task and,
arguably, one of the most fundamental for affective computing. Standard practice in emotion …

This article surveys the current state-of-the-art in affective computing (AC) principles,
methods, and tools as applied to games. We review this emerging field, namely affective …

Manual annotations and transcriptions have an ever-increasing importance in areas such as
behavioral signal processing, image processing, computer vision, and speech signal …