Thermal imaging techniques enable an easier way to detect interaction compared to RGB or depth cameras and are therefore more comprehensively used in Human Computer Interaction (HCI) as a sensory system enabling novel interactive systems with the help of computer vision techniques. This makes it possible to use a thermal camera which operates in the Far Infrared (FIR) spectrum for the processing of humans skin temperature which is indicative of stress and therefore suits for detecting stress. Stress is considered of being one major cause for several sicknesses. Human's health can suffer because of stress and this includes also one's performance. Stress can affect the attention to different tasks. The evolution of techniques especially the computer technology overwhelmed a lot of people with an increasing need for computers in every department of work. This enables multi-tasking with several tasks being done simultaneously quite easily but also enabling a surge of stress. Having several tasks simultaneously to do can affect the outcome of them because a lack of concentration can occur or attention to the important task drops because of stress. The correlation between stress and attention can be investigated and based on a positive relation between them one can point to stress decreasing mechanisms in the case of performance slumps. In this thesis we show that through thermal imaging techniques it is possible to detect objects of interest. We investigate how thermal cameras can be used for detecting one's stress and which areas of a human are suitable for measuring stress. We moreover discuss the relation between stress and attention. Based on this researches an application will be implemented which will be able to detect stress. Using this application in a user study, where subjects perform several different stress generating tasks, we examine how stress affects attention and vice versa. Furthermore some areas which could benefit from the examined stress and attention relation are named.