Emotion recognition using brain signals has the potential to change the way we identify and
treat some health conditions. Difficulties and limitations may arise in general emotion …

This paper describes a new posed multimodal emotional dataset and compares human
emotion classification based on four different modalities-audio, video, electromyography …

Emotion recognition has become increasingly prominent in the medical field and human-
computer interaction. When people's emotions change under external stimuli, various …

In this paper, authors tried to develop reduced combinational features for emotional speech
recognition. The spectral/cepstral features like wavelet coefficient, LPCC (linear prediction …

Emotion recognition from electroencephalography (EEG) signals is a very cost-effective
method to monitor the general well-being of an individual, an employee of an organization …

This paper introduces a method for feature extraction and emotion recognition based on
empirical mode decomposition (EMD). By using EMD, EEG signals are decomposed into …