Physiological Sensing

Measuring bodily signals - such as heart rate, galvanic skin response, skin temperature, respiration, or muscle activity - to infer aspects of a user's physical or affective state. Physiological sensing is widely used in accessibility, affective computing, and digital health to detect stress, engagement, fatigue, or arousal in real time. It is particularly valuable in contexts where users may not easily self-report, such as children with autism, people with cognitive disabilities, or users in high-workload settings.