A study about feature extraction for stress detection

Stress can be associated with depression, heart disease, gastrointestinal problems, asthma, obesity, Alzheimer's disease, impaired driving, low productivity at the workplace, therefore stress detection is a very important research subject. Stress detection using the user's electrodermal activity is a very poor documented research area. This study will focus on presenting a few filtering techniques used to estimate the skin conductance level for stress evaluation, as well as a method used for establishing the user's latency between a given stimuli and the reaction to that stimuli.