International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 09 | Sep 2022
p-ISSN: 2395-0072
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Stress Prediction Via Keyboard Data Omkar Danave1, Isha Nadkar2, Sanskriti Gangrade3, Sanyukta Kamble4, Dr. M.A. Thalor5 1Omkar
3Sanskriti
5Dr.
Gangrade,
4Sanyukta
Danave, 2Isha Nadkar,
Kamble, AISSMS IOIT, Pune, Maharashtra, India
M. A. Thalor, Dept. of Information Technology, AISSMS IOIT, Pune, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------system" is used to describe it. Work pressure is one of Abstract - Stress is one of the most pressing challenges in
several reasons that might lead to stress, bereavement, a traumatic incident, etc. Extreme stress decreases productivity at work and results in a number of ailments and negative emotions. Multiple internal organs are harmed by ongoing stress, leading to a wide range of illnesses. Epithelial, gastrointestinal, musculoskeletal, cardiovascular, and mental illnesses are brought on by these conditions. The effort to foresee diseases before they appeared emerged as a result.
today's society. It's possible for people to be unaware of their stress levels. It's vital to recognize stress early and precisely. In this scenario, stress detection could be postulated as a classification problem. A classification technique for stress prediction is put forth in this research. Furthermore, the suggested machine learning framework has been used to predict the stress levels of computer users using keyboard data. Two distinct phases of the experiment comprised the acquisition of various physiological parametric data, which was then interpreted through an effective machine learning framework. Individuals can avoid a variety of stressrelated medical conditions by utilizing the multimodal dataset recorded from wearable physiological and motion sensors in this paper's suggestion of numerous machine-learning algorithms for stress identification in humans. A healthcare dataset is mined for information on sensor modalities, such as blood pressure, body temperature, oxygen levels, and pulse rate, for the two physiological conditions of stress and nonstress states. Two-class (stress vs. non-stress) classification accuracy has been assessed using machine learning algorithms like KNN and Euclidean Distance.
In the past, they conducted their research on stress prediction in a lab setting. On the other hand, current research is concentrating on creating non-invasive strategies to predict stress using wearable technology. Because stress patterns vary greatly from person to person and are highly subjective, stress prediction models typically do not produce accurate results. Person-dependent models may thus achieve greater accuracy. These models, however, need to be trained using information gathered over a comparatively longer time frame. 1.2 Need of the topic
Key Words: Euclidean Distance, KNN, Stress prediction.
In general, a mismatch between situational needs and a person's incapacity to take advantage of challenging circumstances can lead to stress. The complex human homeostasis or balance is challenged by the condition of difference, which can be restored by a variety of exceptional adaptive response mechanisms coordinated by the central nervous system (CNS). A stress response mechanism is what is being used here. Numerous things, such as work pressure, sadness, a traumatic experience, and others, can lead to stress. Extreme stress decreases productivity at work, as well as causing a number of ailments and unfavourable feelings. Multiple internal organs are harmed by ongoing stress, leading to a wide range of illnesses.
1. INTRODUCTION Stress is the body's reaction to a stressful circumstance that is marked by high anxiety or pressure. Stress may be defined clinically to encompass severe mental health conditions like depression or anxiety attacks. Stress is a psychophysiological condition that causes a person tremendous pain and suffering. Everybody experiences times of stress in their daily lives. It acts as the body's emergency escape mechanism. But stress turns unhealthy at a certain point. On the other side, it starts to have a detrimental effect on a person's health, emotional state, productivity, and quality of life. Stress. 1.1 Motivation
Epithelial, gastrointestinal, musculoskeletal, cardiovascular, and mental illnesses are brought on by these conditions.
In general, a mismatch between situational needs and a person's incapacity to take advantage of challenging circumstances can lead to stress. The complex homeostasis or equilibrium of the human is challenged by the presence of many states, which can be restored by a number of distinctive adaptive response mechanisms coordinated by the central nervous system (CNS). The term "stress response
This has led to efforts to foresee diseases before they manifest. Research on stress prediction has typically been done in a lab setting. On the other hand, current research is concentrating on creating non-invasive strategies to forecast stress using wearable technology. Because stress patterns are highly subjective and differ from person to person, stress
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