21,668 research outputs found
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
Over the past few years, adversarial training has become an extremely active
research topic and has been successfully applied to various Artificial
Intelligence (AI) domains. As a potentially crucial technique for the
development of the next generation of emotional AI systems, we herein provide a
comprehensive overview of the application of adversarial training to affective
computing and sentiment analysis. Various representative adversarial training
algorithms are explained and discussed accordingly, aimed at tackling diverse
challenges associated with emotional AI systems. Further, we highlight a range
of potential future research directions. We expect that this overview will help
facilitate the development of adversarial training for affective computing and
sentiment analysis in both the academic and industrial communities
Emotion capture based on body postures and movements
In this paper we present a preliminary study for designing interactive
systems that are sensible to human emotions based on the body movements. To do
so, we first review the literature on the various approaches for defining and
characterizing human emotions. After justifying the adopted characterization
space for emotions, we then focus on the movement characteristics that must be
captured by the system for being able to recognize the human emotions.Comment: 22 page
- …