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1 pm
Wearable Systems and Machine Learning for Affect Recognition and Interventions by Ramesh Sah – Preliminary Exam
Workshop / Seminar
WSU Pullman - Online

Stress recognition and monitoring from wearable sensor data is an emerging area of research with significant implications for an individual’s physical, social, and mental health. Mobile health interventions that incorporate real-time monitoring of physiological and behavioral markers of stress offer promise for delivering tailored interventions to individuals during high-risk states of heightened stress.