Concept

Affective science

Related publications (39)

Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages

The multi-level adaptive networks (MLAN) technique is a cross-lingual adaptation framework where a bottleneck (BN) layer in a deep neural network (DNN) trained in a source lan- guage is used for producing BN features to be exploited in a second DNN in a ta ...

2016

AniSAM & AniAvatar – Animated Visualizations of Affective States

Andreas Sonderegger

Tools that provide visual feedback about emotions to the user in the form of an avatar or an emoticon have become increasingly important. While a great deal of effort has already been put into the reliable and accurate automatic detection of emotions, only ...

ACM2016

Lightning Location Systems and Interstroke Intervals: Effects of Imperfect Detection Efficiency

Marcos Rubinstein, Mohammad Azadifar, Mirjana Stojilovic

Lightning location systems (LLSs) are often used to obtain parameters of lightning flashes. However, the imperfect detection efficiency (DE) of these systems affects the accuracy of the results. In this paper, we focus on the effects of the imperfect DE on ...

Ieee2016

Individual and Inter-related Action Unit Detection in Videos for Affect Recognition

Anil Yuce

The human face has evolved to become the most important source of non-verbal information that conveys our affective, cognitive and mental state to others. Apart from human to human communication facial expressions have also become an indispensable componen ...

EPFL2016

Puissances de la dérivée. Égogéographies d’aujourd’hui

Jacques Lévy

Twenty years after the publication of his book, Égogéographies, the author makes a balance sheet of the approach he developed in the book. Exploring a researcher’s psyche first of all implies the necessity of putting apart any social epistemology that refu ...

2015

Prediction of Asynchronous Dimensional Emotion Ratings from Audiovisual and Physiological Data

Jean-Philippe Thiran, Touradj Ebrahimi, Eleni Kroupi, Anil Yuce

Automatic emotion recognition systems based on supervised machine learning require reliable annotation of affective behaviours to build useful models. Whereas the dimensional approach is getting more and more popular for rating: affective behaviours in con ...

Elsevier2015

The effects of opportunities and founder experience on new firm performance

Marc Gruber

Much prior research in entrepreneurship has focused on the role of the founder's knowledge in affecting new firm performance. Yet, little is known about how and why the entrepreneurial opportunity itself shapes outcomes in this arena. We begin filling in t ...

Wiley-Blackwell2015

Tetracycline Antibiotics Impair Mitochondrial Function and Its Experimental Use Confounds Research

Johan Auwerx, Laurent Mouchiroud, Richardus Houtkooper

Tetracyclines, a class of antibiotics that target bacterial translation, are commonly used in research for inducible gene expression using Tet-ON/Tet-OFF systems. However, such tetracycline-inducible systems carry a risk. Given that mitochondria have a "ba ...

American Association for Cancer Research2015

Emotion Detection and Recognition based on Brain and Peripheral Physiological Signals

Eleni Kroupi

Emotions affect and determine social relationships and interactions, memory and creativity, and influence the mechanisms of rational thinking and decision making. The influence of emotion on decision making has gained attention in computer science. By d ...

EPFL2014

Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP

Anil Yuce

Automatic facial expression analysis promises to be a game- changer in many application areas. But before this promise can be fulfilled, it has to move from the laboratory into the wild. The Emotion Recognition in the Wild challenge pro- vides an opportuni ...

2013

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