The device attaches to a subject’s skin and uses sensors to independently detect physiological responses, such as skin temperature and perspiration, in real time. That data is then digitized and analyzed by an AI model designed to determine the type of emotional responses the wearer is experiencing. Image: Yangbo Yuan / Penn StateOnce applied, the sensors monitor changes in skin temperature, heart rate, humidity (as expressed through sweat), and blood oxygen saturation. Increased skin temperature, for example, often signals surprise or anger, while a drop in temperature can indicate happiness, fear, or sadness. All of this happens in near real-time, allowing a physician to monitor and interpret emotional responses while observing a patient in a clinical setting.