Návrh nositelného zařízení pro potřeby monitorování osob

Abstract

This thesis focuses on the design and implementation of a wearable device for real-time monitoring of human physical activity. The main objective is to develop a functional prototype capable of acquiring data using an inertial measurement unit, transmitting the data wirelessly, and subsequently processing and analyzing it. The theoretical part provides an overview of available motion monitoring technologies with an emphasis on inertial sensors and wireless communication. It also discusses criteria for selecting suitable devices and methods for data processing, including approaches to human activity classification. The practical part includes the design of a hardware prototype, firmware development, and the implementation of a data acquisition application. Based on experimental measurements, the acquired data are processed and used for activity classification using machine learning methods. The results demonstrate that the proposed system is capable of reliable motion data acquisition and analysis and enables effective classification of activities in both experimental conditions and real-world scenarios.