Multilevel Stress Assessment from ECG in a Virtual Reality Environment Using Multimodal Fusion

We propose a multilevel stress assessment framework that fuses ECG signals with contextual data from a virtual reality environment. The system classifies multiple levels of physiological stress using multimodal fusion, enabling real-time biofeedback applications in clinical and consumer settings.

IEEE Sensors Journal, 23(23), 29559–29570