Students' health, fitness, and wellbeing depend on various factors, and a better understanding of these factors ensures that students have effective health and wellbeing interventions. Recently, Ambient Intelligence (AmI) and internet of things (IoT) are promising solutions to provide healthcare monitoring and personalized health care to provide efficient, significantly lower medical services. The amount of data created by sensors can pose data inaccessibility and computational challenge in the IoT environment. Hence, in this study, Ambient Intelligence assisted Health Monitoring System (AmIHMS) with IoT devices has been proposed for student health monitoring. Wireless sensor networks (WSNs) are utilized for collecting the data needed by Ami environments. The cloud will handle the increased amount of health data, exchange information in resourceful ways across health care networks, and make Big Data Analytics sustainable. Real-time alerting of student health information with large data is an important exercise that is crucial in the proposed work. The simulation results show that the proposed AmIHMS method enhances reliability, data accessibility, and accuracy compared to popular methods.

学生的健康，健身和福祉取决于多种因素，对这些因素的更好理解可以确保学生有有效的健康和福祉干预措施。最近，环境智能（AmI）和物联网（IoT）是有前途的解决方案，可提供医疗保健监控和个性化医疗保健，以提供高效，低得多的医疗服务。传感器创建的数据量可能在IoT环境中造成数据不可访问性和计算难题。因此，在这项研究中，提出了带有物联网设备的环境智能辅助健康监控系统（AmIHMS），用于学生健康监控。无线传感器网络（WSN）用于收集Ami环境所需的数据。云将处理越来越多的健康数据，跨医疗网络以资源丰富的方式交换信息，并使大数据分析具有可持续性。用大数据实时警告学生健康信息是一项重要的工作，对拟议的工作至关重要。仿真结果表明，与常用方法相比，所提出的AmIHMS方法提高了可靠性，数据可访问性和准确性。