Physiological Computing

A computing paradigm that uses real-time physiological signals from the body to inform system responses and adaptations. Common signals include heart rate (via photoplethysmography), skin conductance (galvanic skin response), respiration, and brain activity (EEG). In accessibility, physiological computing enables systems to detect user states like stress, engagement, or fatigue and adapt accordingly—particularly valuable for users who may not be able to explicitly communicate their cognitive or emotional state, such as individuals with autism or cognitive disabilities.