Mustafa Al Qudah (Jordan)

Mustafa Al Qudah is engaged in a project centered on human stress and emotion detection. The focus of this endeavor is the detection of stress using multimodal cues, specifically facial expression and temperature. To achieve this, four thermal/visible cameras will be strategically placed in a room to capture participants’ faces as they move. Additionally, a remote photoplethysmography (PPG) camera-based technique will measure participants’ heart rates during the experiment.

The experimental setup involves the use of acoustic stimuli to gradually induce stress in participants. User states will be recorded both before and after exposure to the stimuli. The classification of stress and other affective states will rely on deep learning algorithms, showcasing their effectiveness in classifying thermal images. The project aims to include a comparison with alternative classification approaches to provide a comprehensive evaluation of the proposed methods.