Health Monitoring of Employees for Industry 4.0

Author:

Ayyalraj Midhun Kumar1ORCID,Balamurugan Appavu Alias2,Misganaw Wondalem3ORCID

Affiliation:

1. Department of CSE, Sathiyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

2. Department of Computer Science, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India

3. Ethiopian Defence University, College of Engineering, Department of Chemical Engineering, Ethiopia

Abstract

On a daily basis, young agers engage in a range of activities. There are numerous things to do, such as attending class, participating in a group project, and going grocery shopping, to mention a few. If a student becomes ill, he or she must visit the clinic for treatment and a note of discharge. Researchers contribute using IoT to display health status in order to decrease the likelihood of becoming unwell. Young agers can use this tool to see if their pulse rates are normal or not. Young agers can see their pulse rate by using the IoT to display their health status. This tool will also assist pupils in reaching their full potential and improving their personal health by determining their optimum pulse rate. Young agers will always keep a healthy lifestyle in order to function in the society. This tool can also serve as a reminder to kids that good health is essential for survival. This method can be used to detect whether a person’s pulse rate is normal while exercising, according to the findings of this study. Such application can be applied in Industry 4.0 in order to evaluate young employee’s health condition to produce better industry outcome.

Publisher

Hindawi Limited

Subject

General Materials Science

Cited by 6 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. IoT-Enabled Smart E-Healthcare System with Predictive Prescription Algorithm for Automatic Patient Monitoring and Treatment;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

2. IoT and wireless sensor network -Based Three- Tier Architecture for Continuous Cardiac Health Monitoring and Alert System;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18

3. Artificial Intelligence-Based Digital Marketing for Discovering Shopping Possibilities and Enhancing Customer Experience;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

4. Artificial Intelligence and Image Processing Techniques for Blood Group Prediction;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

5. Retracted: Health Monitoring of Employees for Industry 4.0;Journal of Nanomaterials;2024-01

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