Affiliation:
1. Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India
Abstract
Stress is the way that everyone can respond actually, intellectually and sincerely to different conditions, changes and requests in our lives. Stress problems are a typical issue among working experts in the business today. With changing way of life and work societies, there is an expansion in the stress among the representatives. However, numerous ventures and corporate give emotional wellness-related plans and attempt to facilitate the work environment climate, the issue is a long way from control. When it comes to Pregnant Women, the uterus climate assumes a fundamental part in future development and improvement of hatchling. Stress during pregnancy will influence the sensitive climate of the hatchling. These can remember impacts for your unborn child’s development and the length of incubation period. They can likewise expand the danger of issues in your child’s future physical and mental turn of events, just as social issues in youth. By using various machine learning techniques, the proposed model can analyze the stress in a working professional and also in a pregnant woman. We can predict the best way of yoga to reduce their stress and get good work results from working employees and a good growth in fetus of a pregnant women. Yoga can positively affect the parasympathetic sensory system and helps in bringing down heartbeat and circulatory strain. This decreases the interest of the body for oxygen and furthermore increment lung limit. Compelling utilization of yoga can likewise decrease the odds of stress, nervousness and despondency.
Publisher
World Scientific Pub Co Pte Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Novel Hybrid Attention-Based Dilated Network for Depression Classification Model from Multimodal Data Using Improved Heuristic Approach;International Journal of Image and Graphics;2024-07-10
2. Optimization Algorithms in Diabetes Prediction: A Comparative Work;2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL);2024-03-13
3. Enhancing User Experiences: Evaluating Movie Recommendation Algorithms in Dynamic Environments;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14
4. Insights into Diabetes Prediction: A Multi-Algorithm Machine Learning Analysis;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20
5. Comparative Analysis of Image Based Uterus Fibroid Detection and Classification Using Deep Learning;2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2023-05-25