Separating mental and metabolic components of physiological data as basis for mobility experience sampling

Abstract

This work aims to distinguish mental and metabolic components of the changes in physiology while using public or shared transport. In order to achieve this, a study is conducted in which the participants are asked to put on a smart shirt that records physiological data(e.g breathing and heart rate) and perform a series of tasks. Based on the findings in this study, a support vector classifier is constructed which aims to separate metabolic readings and metabolic readings combined with mental stress.