dream2020 / data

Related projects: ⓘ

• philippwerner / pain-database-list
  A list of pain recognition databases that are publicly available for research
  ☆66Updated 3 years ago
• meiyor / SincNet-for-Autism-EEG-based-Emotion-Recognition
  This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…
  ☆57Updated 7 months ago
• YMPort / MGEED
  Multimodal Genuine Emotion and Expression Detection database
  ☆10Updated 2 months ago
• desmond-ong / pplAffComp
  Code Repository for "Applying Probabilistic Programming to Affective Computing"
  ☆23Updated 5 years ago
• Kaist-ICLab / K-EmoCon_SupplementaryCodes
  Supplementary codes for the K-EmoCon dataset
  ☆23Updated 3 years ago
• pritamqu / AVCAffe
  [AAAI 2023] AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
  ☆16Updated last year
• meiyor / Deep-Learning-Emotion-Decoding-using-EEG-data-from-Autism-individuals
  Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…
  ☆41Updated 6 months ago
• sofiabroome / painface-recognition
  Using deep recurrent networks to recognize horses' pain expressions in video.
  ☆26Updated 2 years ago
• kdhht2334 / Contrastive-Adversarial-Learning-FER
  [AAAI2021] A repository of Contrastive Adversarial Learning for Person-independent FER
  ☆14Updated 2 years ago
• chkche1 / avec2013
  AVEC 2013 Continuous Audio/Visual Emotion and Depression Recognition Challenge
  ☆19Updated 11 years ago
• dcnieho / NystromHolmqvist2010
  An implementation of the Nyström & Holmqvist (2010) event classification algorithm--with extensions
  ☆10Updated 2 years ago
• frankaging / Multimodal-Transformer
  Attention Based Multi-modal Emotion Recognition; Stanford Emotional Narratives Dataset
  ☆17Updated 5 years ago
• Gijom / TEAP
  Toolbox for Emotion Analysis using Physiological signals
  ☆57Updated last year
• JeanKossaifi / valence_arousal_annotator
  Tool for online Valence and Arousal annotation.
  ☆34Updated 3 years ago
• SSYSteve / GRATIS
  ☆14Updated 2 weeks ago
• xbrainnet / CAFNet
  IEEE Transactions on Affective Computing 2023
  ☆14Updated 7 months ago
• wheidima / MDN
  ☆11Updated 3 years ago
• praveena2j / JointCrossAttentional-AV-Fusion
  ABAW3 (CVPRW): A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition
  ☆33Updated 8 months ago
• abhi9mishra / EmotionRecogntion
  Multimodal Emotion Recognition in a video using feature level fusion of audio and visual modalities
  ☆14Updated 6 years ago
• ivyha010 / AttendAffectNet
  ☆17Updated 3 years ago
• deepBrains / TSception
  PyTorch implementation of TSception
  ☆65Updated last year
• ShuvenduRoy / FER_TL_PipelineTraining
  [Electronics'21] Facial Emotion Recognition Using Transfer Learning in the Deep CNN"
  ☆13Updated 2 months ago
• liaorongfan / DeepPersonality
  Banchmark for personality traits prediction with neural networks
  ☆42Updated 5 months ago
• Mahmoud-Elbattah / Predicting_ASD
  Learning the visual patterns of eye-tracking to predict Autism Spectrum Disorder (ASD)
  ☆31Updated last year
• AccSrd / multimodal-Parkinson-data-processing
  Multimodal Dataset of Freezing of Gait in Parkinson's Disease
  ☆37Updated last year
• r-zemblys / gazeGenNet
  gazeGenNet - generating synthetic eye-tracking data
  ☆16Updated 6 years ago
• cuijiancorbin / A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG
  In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…
  ☆25Updated 2 years ago
• teanijarv / EEG-pyline
  EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.
  ☆17Updated 3 weeks ago
• likith012 / mulEEG
  Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"
  ☆29Updated last year
• vrcarva / carvalho-etal-2019
  Evaluating five different adaptive decomposition methods for EEG signal seizure detection and classification
  ☆20Updated last year