To recognize and understand a person’s emotion has been known as one of the most important issue in human-computer interaction. In this paper, we present a multimodal system tha...
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
Mingyu You, Chun Chen, Jiajun Bu, Jia Liu, Jianhua...
A physiological signal based emotion recognition method, for the assessment of three emotional classes: happiness, disgust and fear, is presented. Our approach consists of four ste...
Georgios Rigas, C. D. Katsis, George Ganiatsas, Di...
This paper is dedicated to the description and the study of a new feature extraction approach for emotion recognition. Our contribution is based on the extraction and the character...
Automatic multimodal recognition of spontaneous emotional expressions is a largely unexplored and challenging problem. In this paper, we explore audio-visual emotion recognition in...
Zhihong Zeng, Yuxiao Hu, Glenn I. Roisman, Zhen We...
Abstract. Opposing the pre-dominant turn-wise statistics of acoustic LowLevel-Descriptors followed by static classification we re-investigate dynamic modeling directly on the frame...
— This paper presents the fuzzy video based emotion recognition system VISBER, that allows to analyze facial expressions in video sequences. In order to process images in real-ti...
Natascha Esau, Evgenija Wetzel, Lisa Kleinjohann, ...