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.

如今，可穿戴技术已广泛应用于物联网（IoT）。讨论的IoT设备可用于各种应用程序，例如智能家居，安全管理，教育机构等。在各种应用中，IoT设备广泛用于医疗保健应用中以降低风险因素。因此，在本文中，将介绍基于物联网（WS-IoT）的可穿戴式传感器，用于运动者持续健康监测系统。本文的目的是为运动队定义健康诊所和运动队的表演服务，以进一步利用该技术来帮助运动员回到运动的不同领域。借助可穿戴的跟踪设备来收集健康详细信息并跟踪运动记录。为了分析和监视体育人的健康，有效地优化了机器学习技术。使用实验结果和讨论评估创建的系统效率。