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Stress Detection Using Wearable Physiological Sensors by Virginia Sandulescu; Sally Andrews; David Ellis; Nicola Bellotto; Oscar Martínez Mozos is a book available to read on EtoBox.

What is Stress Detection Using Wearable Physiological Sensors about?

As the population increases in the world, the ratio of health carers is rapidly decreasing. Therefore, there is an urgent need to create new technologies to monitor the physical and mental health of people during their daily life. In particular, negative mental states like depression and anxiety are big problems in modern societies, usually due to stressful situations during everyday activities including work. This paper presents a machine learning approach for stress detection on people using wearable physiological sensors with the final aim of improving their quality of life. The presented technique can monitor the state of the subject continuously and classify it into "stressful" or "non-stressful" situations. Our classification results show that this method is a good starting point towards real-time stress detection.

Author

Virginia Sandulescu; Sally Andrews; David Ellis; Nicola Bellotto; Oscar Martínez Mozos

Publisher

Springer International Publishing

Published

2015

Language

EN

ISBN

9783319189147

Subjects

Computer Science, Science, Business