Players can get stuck in video games, which impedes their process to their goal and results
in unfavorable outcomes like negative emotions, impediments of flow, and obstacles for …

Instead of predicting just one emotion for one activity (eg, video watching), fine-grained
emotion recognition enables more temporally precise recognition. Previous works on fine …

Translating mental health recognition from clinical research into real-world application
requires extensive data, yet existing emotion datasets are impoverished in terms of daily …

Music therapy is an effective tool to slow down the progress of dementia since interaction
with music may evoke emotions that stimulates brain areas responsible for memory. This …

Background Although frustration is a common emotional reaction while playing games, an
excessive level of frustration can negatively impact a user's experience, discouraging them …

Frustration, which is one aspect of the field of emotional recognition, is of particular interest
to the video game industry as it provides information concerning each individual player's …

In this article a SVM model with PCA has been used to recognize gender using voice of the
person. A small dataset is used for training and testing the model. The records used have …

Accurately recognizing students' affective states is critical for enabling adaptive learning
environments to promote engagement and enhance learning outcomes. Multimodal …

Speech contains rich information on the emotions of humans, and Speech Emotion
Recognition (SER) has been an important topic in the area of human-computer interaction …

Recently, there has been a notable surge of interest in Emotion Recognition (ER) systems,
primarily due to their potential in improving interactions between humans and computers …