Comparative Analysis Of Various Types Of Stress Test Used In Machine Learning - Journal of Advanced Zoology

Aug 5, 2026

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Stress is a mental state of worry and tension triggered by difficult situations, influencing behavior, personal well-being, family life, and social life. Stress can be assessed through physiological and psychological indicators, and large-scale detection increasingly relies on supervised and unsupervised machine-learning methods. This paper summarizes stress level assessment tests, including PSS, SRRS, Daily Hassles Scale (with HUPS), DASS, and PSRS, and highlights how model accuracy depends on training data.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages4

Reading Time10 min

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Introduction

Types of Stress Test

Holmes and Rahe Stress Scale

Daily Hassles Scale

Journal of Advanced Zoology ISSN: 0253-7214 Volume 45 IssueS-4 Year 2024 Page 128-131 Comparative Analysis Of Various Types Of Stress Test Used In Machine Learning Hemangi Y. Rane1*, Dr. Harshali B. Patil2 1 *Assistant Professor, Department of Computer Application, Indira College of Commerce and Science, Pune, India. Email: [hemangi.rane@iccs.ac.in](hemangi.rane@iccs.ac.in) 2 Assistant Professor, Department of Computer Science, Dr. Annasaheb G. D. Bendale Mahila Mahavdyalaya, Jalgoan, India.Email: [hbpagdbmm@gmail.com](hbpagdbmm@gmail.com) *Correspondence Author: Hemangi Y. Rane *Assistant Professor, Department of Computer Application, Indira College of Commerce and Science, Pune, India. Email: [hemangi.rane@iccs.ac.in](hemangi.rane@iccs.ac.in) | CC License
CC-BY-NC-SA 4.0 | Abstract
Stress is state of worry or tension caused by a difficult situation. Sometimes stress may be positive or negative. The stress changes the behavior ofperson. Stress is an action in which body reacts to any kind of threat. Stress automatically effects on a person’s life, family life, and social life. Stress is detected using various factors. Various supervised, and unsupervised machine-learning algorithm are beingused to detect stress efficiently and effectively among a huge population. Supervised learning algorithms are used for mental stress detection, however the accuracy of the algorithm depends upon the training data. This paper reports, the various tests required for detecting stress level like Perceived Stress Scale (PSS), Holmes and Rahe Stress Scale/SRRS, Daily Hassles Scale/ Hassles anduplift scales(HUPS), Depression, Anxiety, and Stress Scale (DASS), Perceived Stress Reactivity Scale (PSRS) test.
Keyword: PSS, SRRS, Daily Hassles Scale,Depression, Anxiety, and Stress Scale (DASS). | | --- | --- | 1. Introduction: Every day, everyone faces an issue: stress. Stress plays a crucial role in our daily lives.[8] Thekeyword stress defines the state of mental or emotional changes that are subject to pressure or tension.[6] Existing research has shown that physical and mental stress can detected bythe physiological factors and psychological factors of human beings. [2]The physiological factors, which can be detected biological or physiological sensors, usually includes Electrocardiogram (ECG), Galvanic Skin Response (GSR), Electromyogram (EMG), Respiration (RESP), Finger Temperature (FT), Skin Temperature (ST) and blood volume pulse(BVP).The psychological information focuses on various factors, usually including happiness, sadness, anger, social factors, communication patterns, increased anxiety,difficulty concentrating, changes in sleep patterns, lack of interest, etc. 2. Types of Stress Test: Stress is defined as the physical response to excessive pressure faced by an individual. The stress could be induced due to any psychological or social scenario. Stress is harmful for human health. [10] Stress avoidance is impossible but preventive actions helps to overcome the stress. Detection of stress level are very important for help in taking preventivemeasures to decrease the chance of a stress. [5] Thesupervised learning and unsupervised learning algorithms are used in many stress detection systems. Supervised learning algorithm are used in detection problem in a particular domain but the accuracy of the algorithm depends upon the data fed into machine whereas unsupervised learning algorithmfocuses on spotting patterns and similar behavior problem. [7] . Many supervised learning techniques like Random forest, K Nearest Neighbor (KNN), Support Vector Machine (SVM), CNN are used. There are various types of stress test for detecting stress level like Perceived Stress Scale (PSS), Holmes and Rahe Stress Scale/ Social Readjustment Rating Scale, Daily Hassles Scale/ Hassles and uplift scales (HUPS), Stress Vulnerability Scale,Depression, Anxiety, and Stress Scale (DASS),Perceived Stress Reactivity Scale (PSRS) test.

FAQs

Why is stress detection important in daily life?

Stress affects mental and emotional states and can influence behavior and well-being. Preventive actions depend on identifying stress level early.

What supervised and unsupervised learning approaches are used for stress detection?

Supervised learning methods detect stress within specific domains, while unsupervised learning focuses on discovering patterns and similar behavior without labeled training data.

Which stress assessment tests are discussed in the paper?

The paper reports commonly used tests and scales such as PSS, Holmes and Rahe Stress Scale/SRRS, Daily Hassles Scale (including HUPS), Depression, Anxiety, and Stress Scale (DASS), and Perceived Stress Reactivity Scale (PSRS).

Aug 5, 2026

Upload by Maeve