Correlation of stress and physiological data

Stress is a mental pressure caused by demanding circumstances, tasks or environment that we live in our daily life. Long-term stress like Chronic stress has a longer negative emotional effect and in a long-term uncontrolled situation, it could damage health and prone to the huge risk of mental and cardiac diseases. Workplace stress is one of the major stress factors that affect the young working people. According to the World Organization for Stress and the American Institute of Stress, the number of patients with stressrelated diseases has been increasing at a drastic rate. Among all people, adults and working people have been reported as being highly affected by stress diseases. In this thesis, the stress of computer programmers is researched with the participants from software development professionals and students at the university. Their physiological data is examined to find the existence of such features that can signal the different stress levels which can be useful in developing stress aware systems. The physiological activity data is collected using an existing computer peripheral like mouse and keyboards whereas a popular statistical analysis method called Pearson correlation is used to inspect the correlation between stress and physiological data. Such features can be used to model a stress classifier in future which can help in the prediction of stress and provide assistance in mental and psychological well-being. As a process of organizing and conducting the research successfully, the research proceeds through a series of phases like planning, research on related fields, design an experiment, data collection and finally data analysis and interpreting the result