R. Jeevadharshini

AN INTELLIGENT SLEEP-BASED MACHINE LEARNING SYSTEM FOR CONTINUOUS AND NON-INTRUSIVE HUMAN STRESS LEVEL DETECTION

Machine learning-based human stress detection from sleep patterns leverages wearable- generated physiological and behavioural sleep indicators, including sleep duration, heart rate variability, nocturnal body movement, and sleep stage distribution, to enable objective, continuous evaluation of stress state. Nevertheles...