Stress is the mental condition of the human body that causes it's dis-functioning. It affects adversely on body parts resulting in health disorders. Traditional method of stress detection includes lab tests done by doctor. Besides traditional techniques, sensors are used to measure physiological signals, as these signals make it easy to detect stress. Based on techniques of data collection, this paper is divided into two types, one for In-lab experiment, in which participants wear various sensors on their body which is invasive for real time application while in second, data was collected from sensors which are already available in the handy devices of participant such as smartphone, wearable devices etc. Different types of sensors and their uses are explained in this paper. Automatic real time stress detection systems can be developed. This paper lists various algorithms used to gain more accuracy in detecting stress. This paper is helpful for the fellow researchers who will be working on automatic stress detection. Various studies in this domain have been reviewed and this is a primary effort in summarizing the highlights of the previous research done in stress detection domain.
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