IoT System for Monitoring and Analysing Physiological Variables in Athletes

IoT has had a wide diffusion in monitoring variables of interest applications such as health, agriculture, environment, and industry, among others. In the context sport, although wearable devices can monitor physiological variables, they are limited by fact that linked to proprietary applications, have storage perform analyses based on descriptive statistics without including application data analytics models. this paper, we present construction an system for analysing athletes use unsupervised learning This is articulated four-layer architecture (capture, storage, analysis visualization). It advantage benefiting from provided commercial devices, storing them non-relational database applying clustering algorithms historical data. The proposed intended serve reference be replicated sports training contexts order take decision-making machine