Multi-Method Explainable Deep Learning for Acute Stress Analysis using Physiological Signals
Wearable devices measure body signals such as skin conductance, pulse, skin temperature and movement, and machine-learning models can use these signals to detect acute stress. Recent work has added explainability so that a user can see which signal influenced a decision. However, most studies use only a single explanat...