Towards Emotional Interaction: Using Movies to Automatically Learn Users' Emotional States

The HCI community is actively seeking novel methodologies to gain insight into the user’s experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies’ scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.

Accessing movies based on emotional impact

Emotions play a central role in our daily lives, influencing the way we think and act, our health and sense of well-being, and films are by excellence the form of art that exploits our affective, perceptual and intellectual activity, holding the potential for a significant impact. Video is becoming a dominant and pervasive medium, and online video a growing entertainment activity on the web and iTV, mainly due to technological developments and the trends for media convergence. In addition, the improvement of new techniques for gathering emotional information about videos, both through content analysis or user implicit feedback through user physiological signals complemented in manual labeling from users, is revealing new ways for exploring emotional information in videos, films or TV series, and brings out new perspectives to enrich and personalize video access. In this work, we reflect on the power that emotions have in our lives, on the emotional impact of movies, and on how to address this emotional dimension in the way we classify and access movies, by exploring and evaluating the design of iFelt in its different ways to classify, access, browse and visualize movies based on their emotional impac

PERFORMANCE CAPTURE: À PROCURA DAS MELHORES TÉCNICAS E ESTÉTICAS NO CONTEXTO DA ANIMAÇÃO DIGITAL

This paper investigates realism in character computer animation, which triggered the development of new techniques and aesthetic in spectacular cinema and contemporary culture. With the advent of motion or performing capture, animation has made possible that virtual characters or digital creatures reach higher levels in emotional acting, taking place in virtual cinematic worlds or even special effects movies. This technology, when placed at the service of imagination and fantasy can provide new dimensions in character motion and communication. In this context, projects like Peter Jackson’s (2001) The Lord of the Rings, James Cameron’s Avatar (2009) and more recently Steven Spielberg’s Tintin (2011) demonstrate that motion technology is constantly evolving, and it represents a credible option to explore new techniques and aesthetic in contemporary animation.