Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection

Affect recognition aims to detect a person's affective state based on observables, with the goal to e.g. improve human-computer interaction. Long-term stress is known to have severe implications on wellbeing, which call for continuous and automated stress monitoring systems. However, the affective c... View More