Print Email Facebook Twitter Mobile Real-Time Stress Detection Title Mobile Real-Time Stress Detection Author Alexandratos, V. Contributor Jonker, C.M. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Intelligent Systems Date 2014-01-15 Abstract Prolonged exposure to stress can cause serious mental and physical illnesses. Therefore, it is important that people are aware of stressful situations, so that they can take necessary actions to cope with them. We introduce a mobile system that is able to detect stress in individuals in real-time based on electrocardiogram and electrodermal activity. The system is built around an Android smartphone and uses wearable, unobtrusive sensors, which include a smart watch and a heart rate belt that gather skin conductance and heart rate data, respectively. When a stressful situation is detected, the system alerts the user and records an audio clip relevant to the stressful event. Both physiological and audio data are stored in the cloud, enabling the user to review past stress-related data offline. Small scale user tests show 82.9% 10-fold and 82.2% between-subject stress detection accuracy. Furthermore, algorithms for processing the skin conductance and heart rate data, as well as an automated method for labeling the collected ‘stress’ and ‘non-stress’ experimental data are developed. Subject stressskin conductanceheart rate variability To reference this document use: http://resolver.tudelft.nl/uuid:c3e56b27-97ff-459b-9f85-dc05f8e3c088 Embargo date 2014-01-15 Part of collection Student theses Document type master thesis Rights (c) 2014 Alexandratos, V. Files PDF Alexandratos_thesis_4182510.pdf 1.78 MB Close viewer /islandora/object/uuid:c3e56b27-97ff-459b-9f85-dc05f8e3c088/datastream/OBJ/view