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Internet of things for knowledge administrations by wearable gadgets
Sivakumar Krishnan1, S Lokesh2, M Ramya Devi3
1Principal - Academics, Rathinam Technical Campus, Coimbatore, Tamil Nadu, India. rksivakumar@gmail.com.
This study integrates wearable devices with Wireless Sensor Networks (WSN) for real-time sports monitoring. The system uses an Enterprise Service Bus (ESB) for interoperability, enabling data access across various devices and operating systems.
Area of Science:
- Computer Science
- Electrical Engineering
- Sports Science
Background:
- The rapid advancement of the Internet of Things (IoT) has spurred the development of novel connected gadgets.
- Wearable technology represents a significant trend, integrating with IoT to enhance daily activities through remote sensor systems.
Purpose of the Study:
- To present a real-world application integrating Wireless Sensor Networks (WSN) with wearable devices for a gaming scenario.
- To demonstrate a service-oriented semantic middleware solution using an Enterprise Service Bus (ESB) for seamless integration and interoperability of diverse hardware platforms.
Main Methods:
- Physical parameters of athletes are measured and transmitted using wearable devices to a WSN.
- An Enterprise Service Bus (ESB) is employed as a middleware solution to ensure coordination and interoperability between different systems.
- A case study involving a football match monitors 11 players, acquiring data for real-time situation prediction.
Main Results:
- The proposed system enables data acquisition and accessibility through a wide range of devices (smartphones, tablets, PCs) and operating systems (Android, Windows, Linux, iOS).
- The ESB acts as a crucial bridge, facilitating the integration of disparate hardware and software environments.
- Real-time data from football players was successfully monitored and utilized for situational analysis.
Conclusions:
- The integration of wearable technology, WSN, and ESB provides a robust framework for real-time data monitoring and analysis in sports.
- The system enhances user accessibility to data across multiple platforms, paving the way for innovative applications.
- The successful case study demonstrates the potential for predictive analysis and improved performance insights in sports.
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