An IoT-Driven Workers Health Monitoring System Utilizing LoRa Technology for Real-Time Vital Signs Collection, Tracking and Cloud-Based Data Logging at Industrial Entry Points
With the rapid rise of IoT tech., new possibilities have emerged in areas such as health monitoring, especially in industries that require OHS. Traditionally, workplace health monitoring took a reactive stance resolving any adverse health conditions whenever they arise. Nonetheless, given that there have been shifts in technology and operational practices, what was once impossible has now become realizable - and that is the implementation of systems that continuously perform health monitoring in real-time. Such systems offer a constant evaluation of the most important health parameters with the aim of detecting health problems and preventing related adverse events at the early stage. This is particularly important in the workplace where the physical demand and hazards related to the occupation are high. With the advent of IoT technologies, the way of health insight which was very mechanized and physical in nature has changed to an intact automation system. Such a shift is, however, not simply improvement of technologies but a great efficiency advancement in health management at workplaces. Because of the connection of the cloud technology, the health status information is kept, and tested in one place, and relevant superiors and medical professionals are provided with the information they require to act quickly. Within this setting, IoT oriented technologies develop systems that act as the first line of defense in ensuring minimal delay response time in case there are health adversities, active surveillance on worker's health is also achieved. This paper presents a comprehensive improvement of an existing product intended to solve such problems. It shows how the problem of safety in the workplace can be achieved easily.
Authors
- Praveen Kumar Malik (ORCID: https://orcid.org/0000-0003-3433-8248)
- Srinivas Aluvala (ORCID: https://orcid.org/0000-0002-9864-8184)
- Gopal Krishna
- Parulpreet Singh (ORCID: https://orcid.org/0000-0001-7226-6148)
- Manoj Kumar (ORCID: https://orcid.org/0000-0001-8507-4663)
- Navjot Kaur (ORCID: https://orcid.org/0000-0001-9137-1680)
Institutions
- Lovely Professional University (IN)
- Uttaranchal University (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10956658
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00