mat format and 4 types of label files (attention and 3D emotion) The mat file contains EEG data from 12 trials of the same subject, in the format of channel * data. The fourth part is For-ML, where Subject_123 is the EEG data of the first 9 trials, Subject_4 is the EEG data ...
The mobile application allows the user to view his/her emotion levels at the moment, explore the personalized happiness heatmap, and play music tracks while observing the change in the emotions' levels.electron nodejs php eeg-signals eeg-data sqllite eeg-headset eeg-readings emotiv-headset ...
🚀 My stack Stars Search Search Type: All Language Sort by: Recently starred Showing results XJTU-EEG / LibEER LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition Python 43 4 Updated Dec 5, 2024 XJTU-EEG / MEMA 4 Updated Jan 12, 2025 Fo...
arxiv:Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition 睡眠 自监督 不是情绪识别 JMIR AI'23: Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study 10.2196/46769 非常详细,好像还集成了MoCo, SimCLR, ...
git clone https://github.com/nubcico/EAV.gitcdEAV Install requirements pip install -r requirements.txt Usage Dataset The raw dataset, along with the pre-extracted features, can be accessed and downloaded fromZenodo. After downloading the dataset, you must choose between utilizing the raw dataset...
The competitive experimental results on three datasets have shown that our proposed method achieves the promising emotion classification performance compared with the state-of-the-art methods. The code of our proposed method will be available at: https://github.com/smy17/DANet.Mingyi Sun...
Real-time emotion detection using EEG signals Interpretation and classification of emotions (admiration, love, hate, desire, joy, sadness) Integration with the Neurohumanities Lab interactive platform Results The algorithm developed for the Real-Time Emotion Detection achieved better results (92-93% accu...
1.采用生理信号进行情绪分析的数据库(Database forEmotion Analysis using Physiological Signals,DEAP) 该数据库是由来自英国伦敦玛丽皇后大学等单位的研究人员通过实验采集到的,用来研究人类情感状态的多通道数据。该数据库主要包括每个被试在面部表情视频刺激下的EEG数据以及心理量表数据。
The LaBraMs were pre-trained on about 2,500 hours of various types of EEG signals from around 20 datasets and validated on multiple different types of downstream tasks. Experiments on abnormal detection, event type classification, emotion recognition, and gait prediction show that our LaBraM ...
cnn emotion-recognition eeg-classification multi-scale-model Updated Oct 2, 2023 Python Raghav714 / EEG-Emotion-classification Star 103 Code Issues Pull requests eeg-data emotion-recognition eeg-classification eeg-signals-processing Updated Mar 16, 2019 Python yi...