Jeu vidéo | EPFL Graph Search

Un jeu vidéo est un jeu électronique doté d'une interface utilisateur permettant une interaction humaine ludique en générant un retour visuel sur un dispositif vidéo. Le joueur de jeu vidéo dispose de périphériques pour agir sur le jeu et percevoir les conséquences de ses actes sur un environnement virtuel. Le mot « vidéo » dans le jeu vidéo fait traditionnellement référence à un dispositif d'affichage de , mais, à la suite de la vulgarisation du terme, il implique désormais tout type de dispositif d'affichage. Les systèmes électroniques utilisés pour jouer à des jeux vidéo, aussi appelés plates-formes, peuvent être aussi bien des ordinateurs de bureau, des appareils spécifiques comme des consoles de salon ou des bornes d'arcade, ou de petits appareils portatifs tels des consoles portables, des ordinateurs portables ou des smartphones. Les jeux vidéo spécialisés tels que les jeux d'arcade, auparavant communs, ont vu leur usage progressivement diminuer. Le jeu vidéo est aujourd'hui co

Towards Recognizing Emotion in the Latent Space

Rayan Elalamy

Emotion recognition is usually achieved by collecting features (physiological signals, events, facial expressions, etc.) to predict an emotional ground truth. This ground truth is arguably unreliable due to its subjective nature. In this paper, we introduce a new approach to measure the magnitude of an emotion in the latent space of a Neural Network without the need for a subjective ground truth. Our data consists of physiological measurements during video gameplay, game events, and subjective rankings of game events for the validation of our model. Our model encodes physiological features into a latent variable which is then decoded into video game events. We show that the events are ranked in the latent space similarly to the participants' subjective ranks. For instance, our model's ranking is correlated (Kendall tau of 0.91) with the predictability rankings.

IEEE2021

Photo-Realistic Real-time Face Rendering

Daniel Chappuis

Face rendering is a really important topic in Computer Graphics because a lot of virtual simulations or video games contain virtual humans. In order to obtain a realistic face, we need to take care of skin rendering. Nowadays, we can use modern 3D scanning technology to obtain very detailed meshes and textures for the face but the main difficulty with skin rendering is that we need to model subsurface scattering effects. In 2007, d'Eon, Eugene, David Luebke, and Eric Enderton published the article "Efficient Rendering of Human Skin" that describe an algorithm for rendering realistic skin in real-time. The goal of my work was to implement their algorithm to simulate subsurface scattering in skin. I also implemented diffuse environment lighting with occlusions using spherical harmonics.

2011

An action selection architecture for autonomous virtual humans in persistent worlds

Etienne De Sevin

Nowadays, virtual humans such as non-player characters in computer games need to have a strong autonomy in order to live their own life in persistent virtual worlds. When designing autonomous virtual humans, the action selection problem needs to be considered, as it is responsible for decision making at each moment in time. Indeed action selection architectures for autonomous virtual humans need to be reactive, proactive, motivational, and emotional to obtain a high degree of autonomy and individuality. The thesis can be divided into three parts. In the first part, we define each word of our title to precise their sense and raise the problematic of this work. We describe also inspirations from several domains that we used to design our model because this thesis is highly multi-disciplinary. Indeed, decision-making is essential for every autonomous entity and is studied in ethology, robotics, computer graphics, computer sciences, and cognitive sciences. However, we have chosen specific techniques to implement our model: hierarchical classifier systems and a free flow hierarchy. The second part of this thesis describes in detail our model of action selection for autonomous virtual humans. We use overlapping hierarchical classifier systems, working in parallel, to generate coherent behavioral plans. They are associated with the functionalities of a free flow hierarchy for the spreading of activation to give reactivity and flexibility to the hierarchical system. Moreover several functionalities are added to enhance and facilitate the choice of the most appropriate action at every time according to the internal and external influences. Finally, in the third part of this thesis, a complex simulated environment is created for testing the model and its functionalities with many conflicting motivations. Results demonstrate that the model is sufficiently efficient, robust and flexible for designing motivational autonomous virtual humans in persistent worlds. Moreover, we have just started to investigate on the emotional level which has to be improved in the future to have more subjective and adaptive behaviors and also manage social interactions with other virtual humans or users. Applied to video games, non player characters are more interesting and believable because they live their own life when people don't interact with them.

EPFL2006

An action selection architecture for autonomous virtual humans in persistent worlds

Etienne De Sevin

EPFL2006