"BioVid Emo DB": A multimodal database for emotion analyses validated by subjective ratings
نویسندگان
چکیده
The precondition of productive data mining is having an efficient database to work on. The BioVid Emo DB is a multimodal database recorded for the purpose of analyzing human affective states and data mining related to emotion. Psychophysiological signals such as Skin Conductance Level, Electrocardiogram, Trapezius Electromyogram and also 4 video signals were recorded. 5 discrete emotions (amusement, sadness, anger, disgust and fear) were elicited by 15 standardized film clips. 94 participants watched them, rated them in terms of the experienced emotional level and selected the film clips that evoked the strongest emotion. A preliminary analysis of the subjective ratings made during the experiment is presented. The dataset is available for other researchers. Keywords—database; data mining; emotion recognition; film clips; discrete emotions
منابع مشابه
Analysis of Multi-Lingual Emotion Recognition Using Auditory Attention Features
In this paper, we build mono-lingual and cross-lingual emotion recognition systems and report performance on English and German databases. The emotion recognition system uses biologically inspired auditory attention features together with a neural network for learning the mapping between features and emotion classes. We first build mono-lingual systems for both Berlin Database of Emotional Spee...
متن کاملSpeech emotion recognition with cross-lingual databases
In this paper, we investigate cross-lingual automatic speech emotion recognition. The basic idea is that since the emotion recognition system is based on the acoustic features only, it is possible to combine data in different languages to improve the recognition accuracy. We begin with the construction of a Mandarin database of emotional speech, which is similar to the well-known Berlin Databas...
متن کاملSpeech Emotion Recognition Based on Power Normalized Cepstral Coefficients in Noisy Conditions
Automatic recognition of speech emotional states in noisy conditions has become an important research topic in the emotional speech recognition area, in recent years. This paper considers the recognition of emotional states via speech in real environments. For this task, we employ the power normalized cepstral coefficients (PNCC) in a speech emotion recognition system. We investigate its perfor...
متن کاملAnalysis and recoding of multimodal data
Emotions are part of our lives. Emotions can enhance the meaning of our communication. However, communication with computers is still done by keyboard and mouse. In this humancomputer interaction there is no room for emotions, whereas if we would communicate with machines the way we do in face-to-face communication much information can be extracted from the context and emotion of the speaker. W...
متن کاملEmo-Sensory Expression at the Crossroads of Emotion, Sense, and Language: A Case of Color-Emotion Associations
Delving into the close relationship between sense and emotion mingled with language can be of utmost importance in studies related to management of emotions. In this regard, the current study qualitatively attempted to examine to what extent sense-induced emotions can be recognized, labelled, and managed by individuals. To this end, 36 Iranian males and females were asked to participate in inte...
متن کامل