Physiological-based smart stress detector using machine learning algorithms

• Main Authors: Rosales, Marife A., Bandala, Argel A., Vicerra, Ryan Rhay P., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Stress (Physiology)—Testing; Machine learning; Electronic Devices and Semiconductor Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/50; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1049/type/native/viewcontent
• Institution: De La Salle University

This paper is focused on the development of an intelligent system to identify if one person is stress or not stress using physiological parameters through machine learning. In this study, the dataset was acquired from three hundred (300) male and female participants ages 18 to 25. The gathered datas...