The data consist of measurements of four physiological signals and eight affective states, taken once a day, in a session lasting around 25 minutes, for over ...

AffWild2 is a publicly available multimodal dataset for affect recognition and analysis, containing videos of people displaying a range of emotions and facial ...

25 окт. 2023 г. · The proposed Finer-grained Affective Computing EEG Dataset (FACED) aimed to address these issues by recording 32-channel EEG signals from 123 subjects.

We reviewed the literature on the publicly available datasets used to automatically recognise emotion and affect using artificial intelligence (AI) techniques.

27 авг. 2023 г. · MAHNOB-HCI dataset[2], where HCI stands for Human Computer Interaction, is a very commonly used dataset for emotion or valence/arousal classification.

13 нояб. 2024 г. · We compiled a multi-label Chinese affective computing dataset that integrates the same user's personality traits with six emotions and micro-emotions.

23 янв. 2024 г. · We present G-REx, a dataset for real-world affective computing. We collected physiological data (photoplethysmography and electrodermal activity) using a wrist ...

Affective datasets are collections of modalities annotated in terms of the corresponding affective states and are used to train AD models (D'Mello et al., 2017) ...

DEAP is a freely available dataset containg EEG, peripheral physiological and audiovisual recordings made of participants as they watched a set of music ... Dataset description · Download · Contact

12 нояб. 2024 г. · This dataset is designed to advance machine recognition of complex human emotions and provide data support for research in psychology, education ...