Continuous Affect Estimation
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Benchmarks
Most implemented
Learning from Label Relationships in Human Affect
Papers
Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming
Geometric features derived from single static images have the potential to be highly effective for facial emotion analysis, as shape, structure, and spatial relationships are key factors. However, these aspects are rarel…
Arousal EstimationContinuous Affect EstimationEmotion RecognitionValence EstimationLearning from Label Relationships in Human Affect
Human affect and mental state estimation in an automated manner, face a number of difficulties, including learning from labels with poor or no temporal resolution, learning from few datasets with little data (often due t…
Continuous Affect EstimationregressionState EstimationDistribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
Multi-Task Learning has emerged as a methodology in which multiple tasks are jointly learned by a shared learning algorithm, such as a DNN. MTL is based on the assumption that the tasks under consideration are related; t…
Action Unit DetectionAttributeContinuous Affect EstimationEmotion Recognition+4AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups
We present AMIGOS-- A dataset for Multimodal research of affect, personality traits and mood on Individuals and GrOupS. Different to other databases, we elicited affect using both short and long videos in two social cont…
Continuous Affect EstimationEEGElectroencephalogram (EEG)