Abstract
Nowadays, wearable techniques are widely used in the Internet of Things (IoT). The discussed IoT devices are used in various applications such as smart home, security management, education institutions and so on. Among the various application, IoT devices are used widely in health care application for reducing the risk factors. So, in this paper, introduces the wearable sensors based on the Internet of Things (WS-IoT) for sports person continuous health monitoring system. The goal of this paper is to define the health clinics for sports medicine and performance services of the sports team to further the use of the technology to help athletes return to play in different fields of sport. With the help of wearable tracking devices to collect the health details and track the exercise records. To analyze and monitoring sports person health effective optimization machine learning techniques are introduced. The created system efficiency is evaluated using experimental results and discussion.
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