44 datasets found

The proposed method uses a divide-and-conquer strategy for ensemble classification to recognize emotions in speech.

A dataset collected remotely through an interactive smartphone application that was available to the U.S. general population through Google Play and Apple App Store under IRB...

The LRW dataset is an English language lip reading dataset, containing 500 different words, each spoken by over 1,000 persons.

A crowd emotion dataset with 31 videos and annotated crowd emotions.

A new dataset of 95 MIDI labelled piano pieces (966 phrases of 4 bars) from video game soundtracks. Each piece is annotated by 30 human subjects according to a valence-arousal...

The Indian Spontaneous Expression Database for Emotion Recognition is a database of spontaneous facial expressions of both male and female participants of Indian origin.

The EmotiW2015 in-the-wild emotion dataset contains static images based spontaneous facial expression.

The Karolinska Directed Emotional Faces (KDEF) dataset consists of 4900 pictures of 70 subjects, each photographed twice in each of the seven facial expressions at five...

The EmoPain dataset consists of sequential data from multiple modalities and in unconstrained settings where there are bound to be uncertainties (e.g. in form of sensor noise)...

The dataset used for the Emotion Recognition in the Wild Challenge 2017

The SEED dataset contains 15 subjects recorded while watching movie clips designated with a negative/neutral/positive emotion label.

A large-scale city-wise dataset for exploring the relationships among air pollutants and their causal agents over time.

The mug facial expression database is a facial expression dataset containing 882 videos of 52 actors performing 6 different facial expressions.

The MSP-IMPROV dataset contains 6 sessions of dyadic interactions between pairs of male-female actors. 15 target sentences are used to collect the recordings. For each target...

The FERPlus dataset is a large-scale facial expression recognition dataset containing 28,709 training images, 3,589 validation images, and 3,589 test images.

Ordinal regression refers to classifying object instances into ordinal categories. It has been widely studied in many scenarios, such as medical disease grading and movie...

Emotions recognition using EEG signals: A survey.

EEG-based emotion recognition often requires sufficient labeled training samples to build an effective computational model. Labeling EEG data, on the other hand, is often...

Aff-Wild2 is a large-scale in-the-wild database for affective behavior analysis, containing 564 videos with frame-level annotations for valence-arousal estimation, facial action...

A dataset used for testing the proposed Adaptive DBN model