48 datasets found

The dataset used in the paper is a conversation emotion recognition dataset, which includes two benchmark datasets: IEMOCAP and MELD.

The MAHNOB dataset is a collection of physiological signals (EEG, EDA, facial expressions, and speech) for emotion recognition.

The SEED dataset is a collection of physiological signals (EEG, EDA, facial expressions, and speech) for emotion recognition.

The DEAP dataset is a collection of physiological signals (EEG, EDA, facial expressions, and speech) for emotion recognition.

User independent emotion recognition with large scale physiologically signals is a tough problem. The PMEmo dataset is the currently largest dataset with EDA and music signals...

The IEMOCAP dataset contains five recording sessions, each with one male speaker and one female speaker.

RECOLA contains audio-visual recordings of spontaneous interactions of 27 French-speaking participants in a remote collaborative task

The E-MASAC dataset is a comprehensive dataset for Emotion Recognition in Conversation (ERC) for code-mixed dialogues, specifically for Hindi-English conversations.

A multimodal dataset for emotion analysis through EDA and PPG signals from wireless wearable low-cost off-the-shelf devices

The Duchenne smile dataset contains images of Duchenne smiles and non-Duchenne smiles. The dataset is used for facial expression analysis.

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 AMI corpus: A spoken language corpus for speaker diarization and emotion recognition

Emotion recognition based on Electroencephalography (EEG) has gained significant attention and diversified development in fields such as neural signal processing and affective...

Emotion recognition based on Electroencephalography (EEG) has gained significant attention and diversified development in fields such as neural signal processing and affective...

Emotion recognition based on Electroencephalography (EEG) has gained significant attention and diversified development in fields such as neural signal processing and affective...

Emotion recognition based on Electroencephalography (EEG) has gained significant attention and diversified development in fields such as neural signal processing and affective...

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 paper proposes a bi-parallel linear flow model for facial emotion generation from emotion set images.

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