Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …
decades. In particular, physiological signals are widely used to detect and classify affective …
Affective game computing: A survey
GN Yannakakis, D Melhart - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
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 …
methods, and tools as applied to games. We review this emerging field, namely affective …
A dataset of continuous affect annotations and physiological signals for emotion analysis
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 …
research, a direct and real-time inspection in realistic settings is not possible. Discrete …
A survey on large-scale machine learning
Machine learning can provide deep insights into data, allowing machines to make high-
quality predictions and having been widely used in real-world applications, such as text …
quality predictions and having been widely used in real-world applications, such as text …
Affective computing for large-scale heterogeneous multimedia data: A survey
The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
FATAUVA-Net: An integrated deep learning framework for facial attribute recognition, action unit detection, and valence-arousal estimation
Facial expression recognition has been investigated for many years, and there are two
popular models: Action Units (AUs) and the Valence-Arousal space (VA space) that have …
popular models: Action Units (AUs) and the Valence-Arousal space (VA space) that have …
PAGAN: Video affect annotation made easy
How could we gather affect annotations in a rapid, unobtrusive, and accessible fashion?
How could we still make sure that these annotations are reliable enough for data-hungry …
How could we still make sure that these annotations are reliable enough for data-hungry …
The pixels and sounds of emotion: General-purpose representations of arousal in games
K Makantasis, A Liapis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
What if emotion could be captured in a general and subject-agnostic fashion? Is it possible,
for instance, to design general-purpose representations that detect affect solely from the …
for instance, to design general-purpose representations that detect affect solely from the …
Recognizing induced emotions of movie audiences from multimodal information
Recognizing emotional reactions of movie audiences to affective movie content is a
challenging task in affective computing. Previous research on induced emotion recognition …
challenging task in affective computing. Previous research on induced emotion recognition …
[PDF][PDF] The mediaeval 2016 emotional impact of movies task
This paper provides a description of the MediaEval 2016” Emotional Impact of Movies” task.
It continues builds on previous years' editions of the Affect in Multimedia Task: Violent …
It continues builds on previous years' editions of the Affect in Multimedia Task: Violent …