Paper Title : Stress Detection

ISSN : 2394-2231
Year of Publication : 2021

10.29126/23942231/IJCT-v8i3p3

Authors: Rushikesh Shinde, Rushabh Patil, Akshay Shinde, Yogeshnath Bornare ,Guided By- Prof. Suchita Jadhav

         



MLA Style: Rushikesh Shinde, Rushabh Patil, Akshay Shinde, Yogeshnath Bornare ,Guided By- Prof. Suchita Jadhav "Stress Detection " Volume 8 - Issue 3 May-June , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

APA Style: Rushikesh Shinde, Rushabh Patil, Akshay Shinde, Yogeshnath Bornare ,Guided By- Prof. Suchita Jadhav " Stress Detection " Volume 8 - Issue 3 May-June , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org

Abstract
Tension can be viewed as disturbance in a state of normal psychological equilibrium. When a person is unable to balance the demands placed on him or her with his or her ability to cope with them, stress arises, putting a strain on mental health. There are two distinct types of difficulties. Stress can be described as a disturbance in one's psychological equilibrium. Stress detection is one of the major research fields in biomedical engineering, as proper stress prevention may be easy. Mri, Rgb, oxygenation, Frs, and other bio signals are available. These signals are useful in recognizing stress levels since they represent distinct shifts in the induction of stress. We chose ECG as the primary candidate in this project due to the ease with which it can be recorded. Multiple SVM model types have been tested by changing the function number and kernel type.

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Keywords
— Support vector machine, ECG, EMG, HR