Motion sickness arises when the brain receives discordant sensory information from the body, eyes and vestibular system. People who suffer from this disorder experience nausea, fatigue and general discomfort when they travel by plane, car, ship, but also in amusement park rides and in virtual reality environments. The aim of this thesis project is to preventively detect this state of illness when travelling, in order to improve the travel experience, but also to prevent any negative effects on their own health. To achieve this objective, different techniques of data analysis are adopted. These physiological signals are recorded during a driving simulation carried out in a laboratory.