Abstract
Many apps and analyzers based on machine learning have been designed already to help and cure the stress issue, which is increasing rapidly. The project is based on an experimental research work that the authors have performed at Research Labs and Scientific Spirituality Centers of Dev Sanskriti VishwaVidyalaya, Haridwar and Patanjali Research Foundations, Uttarakhand. In their research work, the correctness and accuracy have been studied and compared for two biofeedback devices, electromyography (EMG) and galvanic skin response (GSR), which can operate in three modes—audio, visual, and audio-visual—with the help of data set of tension type headache (TTH) patients. The authors have realized by their research work that these days people have a lot of stress in their lives so they planned to make an effort for reducing the stress level of people by their technical knowledge of computer science. In their project, the authors have a website that contains a closed set of questionnaires, which have some weight associated with each question.
TopOur Project Objective
- 1.
To study and compare the correctness and accuracy of Electromyography (EMG) and Galvanic Skin Response (GSR) biofeedback in three modes: audio, visual and audio-visual.
- 2.
Our project is to check the stress level of a person and give remedies to them accordingly, by classifying them into one of the three categories: low, medium & high-stress level.
- 3.
Comparing the efficiency of different algorithms used for classification.
TopScope Of The Project
Measuring the effect of various indicators like physical, sleep, behavioral, personal and emotional parameters are indicators of stress on different levels of stress. The purpose is to reduce the use of medication to lower the level of stress. Measuring the accuracy of the range decided to track the level of stress of a person. A runnable system which checks the stress level of a person. The main objective is to develop a system which gives the remedies which do not involve any kind of medication to a person according to their stress level (Rastogi, R., Chaturvedi, D. K., et al. (2018), Rastogi, R., Chaturvedi, D. K., et al. (2018)).
Key Terms in this Chapter
Galvanic Skin Response (GSR): Is the measure of the continuous variations in the electrical characteristics of the skin.
Electromyography (EMG): Diagnostic procedure that evaluates the health condition of muscles and the nerve cells that control them.
Machine Learning (ML): Is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Python: Is a high-level, interpreted, interactive and object-oriented scripting language.
Tension Type Headache (TTH): A tension headache is generally a diffuse, mild to moderate pain in your head that's often described as feeling like a tight band around your head.
Biofeedback: Mind-body technique that involves using visual or auditory feedback to gain control over involuntary bodily functions.