The modelling of realistic emotional behaviour is needed for various applications in multimodal human-machine interaction such as the design of emotional conversational agents (Martin et al., 2005) or of emotional detection systems (Devillers and Vidrascu, 2007). Yet, building such models requires appropriate definition of various levels for representing the emotions themselves but also some contextual information such as the events that elicit these emotions. This paper presents a coding scheme that has been defined following annotations of a corpus of TV interviews (EmoTV). Deciding which events triggered or may trigger which emotion is a challenge for building efficient emotion eliciting protocols. In this paper, we present the protocol ...
In this paper, we describe emotion recognition experiments carried out for spontaneous affective spe...
Automatically estimating a user’s emotional behaviour via speech contents and facial expressions pla...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...
Communication between humans deeply relies on the capability of expressing and recognizing feelings....
Abstract. Affective and human-centered computing have attracted a lot of attention during the past y...
Recent advances in human-computer interaction technology go beyond the successful transfer of data b...
We have recorded a new corpus of emotionally coloured conversations. Users were recorded while holdi...
In the paper we present emotional annotation for a corpus of naturalistic data recorded in a French ...
Emotions are part of our lives. Emotions can enhance the meaning of our communication. However, comm...
OPEN_EmoRec_II is an open multimodal corpus with experimentally induced emotions. In the first half ...
Abstract—Previous work on emotion recognition from bodily expressions focused on analysing such expr...
Recent advances in human-computer interaction technology go beyond the successful transfer of data b...
The main goal of this work is to carry out automatic emo-tion detection from speech by using both ac...
Communication between humans deeply relies on our capability of experiencing, expressing, and recogn...
Objective: The goal of this work is to develop and test an automated system methodology that can det...
In this paper, we describe emotion recognition experiments carried out for spontaneous affective spe...
Automatically estimating a user’s emotional behaviour via speech contents and facial expressions pla...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...
Communication between humans deeply relies on the capability of expressing and recognizing feelings....
Abstract. Affective and human-centered computing have attracted a lot of attention during the past y...
Recent advances in human-computer interaction technology go beyond the successful transfer of data b...
We have recorded a new corpus of emotionally coloured conversations. Users were recorded while holdi...
In the paper we present emotional annotation for a corpus of naturalistic data recorded in a French ...
Emotions are part of our lives. Emotions can enhance the meaning of our communication. However, comm...
OPEN_EmoRec_II is an open multimodal corpus with experimentally induced emotions. In the first half ...
Abstract—Previous work on emotion recognition from bodily expressions focused on analysing such expr...
Recent advances in human-computer interaction technology go beyond the successful transfer of data b...
The main goal of this work is to carry out automatic emo-tion detection from speech by using both ac...
Communication between humans deeply relies on our capability of experiencing, expressing, and recogn...
Objective: The goal of this work is to develop and test an automated system methodology that can det...
In this paper, we describe emotion recognition experiments carried out for spontaneous affective spe...
Automatically estimating a user’s emotional behaviour via speech contents and facial expressions pla...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...