The use of wearable health monitoring systems has increased in recent years, with commercial devices such as smart watches. Their functionality continues to expand, enabling users to monitor their own physiological data. However, challenges for creating a head-worn wearable for long-term monitoring lie in power consumption and memory capacity, while remaining small, comfortable, and sustainable.

The conclusion of this work showcases that the designed embedded system is able to perform continuous monitoring during human body downtime thanks to the introduced data processing pipeline and low power consumption, providing the groundwork for comfortable continuous long-term monitoring.

In this work, we propose an IoT smart classroom framework which will be the base for smart classroom and hybrid teaching applications. The prototype introduces sensor readout capabilities, with which temperature, humidity, and loudness in a classroom can be monitored. Furthermore, the prototype introduces capabilities to collect and display measurements. Additionally, this prototype will assist an educator in a hybrid teaching setup by offering additional functionality, namely notifying the educator of online questions and giving an overview of environmental measurements in the classroom. With this prototype, the educator is able to control whether the students online are able to hear physically present students and vice versa. The prototype also introduces a way to notify the educator of any questions from students attending online. The goal of this prototype is to make the first steps to improve the hybrid teaching environment by reducing the workload on the educator and by making it easier for online students to interact with the educator. This prototype is split into three theses, focusing on sensor hardware, the Bluetooth mesh network, and the server respectively. This work will have a higher focus on designing and creating a server for this prototype, which will collect and display sensor measurements.