PME4: Emotion Recognition with Audio, Video, EEG, and EMG

dataset

posted on 2022-01-21, 20:00 authored by Jin ChenJin Chen, Zhigang Zhu, Tony Ro

PME4 is a posed multimodal emotion dataset with four modalities (PME4): audio, video, EEG, and EMG. Data were collected from 11 human subjects (five female and six male individuals) who were students in acting after informed consent was obtained. This dataset consists of recognizing the six basic human emotions (anger, fear, disgust, sadness, happiness, and surprise) plus a neutral emotion for a total of seven emotions.

For more dataset details, please check out: https://github.com/jinchen1036/PME4-Emotion-Recognition/blob/main/PME4_dataset.md

Funding

NSF EFRI Award #1137172

NSF BCS Awards #1358893 and #1755477

AFOSR Award #FA9550-21-1-0082

ODNI via the Intelligence Community Center for Academic Excellence (IC CAE) at Rutgers University #HHM402-19-1- 0003 and #HHM402-18-1-0007

History

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Keywords

emotion recognition research electroencephalograph Electromyogram (EMG)Neuroscience and Physiological Psychology Artificial Intelligence and Image Processing Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)Computer Perception, Memory and Attention Computer Vision

Licence

CC BY 4.0