New Advancements in Head-Worn Sensors

Non-invasive head-worn sensors are an upcoming field of interest. Most commercial sensors and sensors presented in research papers are limited in their capabilities and require frequent user interaction. In this Thesis, we research the possibilities of overcoming some of these limitations and extending the capabilities of these sensors.

Towards Continuous Monitoring of Volatile Organic Compounds in the Gastrointestinal Tract

Much like wearable devices today, ingestible devices have emerged as a promising platform for continuous health monitoring, and potentially even intervention. Recent research has demonstrated the feasibility of ingestible devices with a retention mechanism, enabling them to remain in the stomach for weeks. Equipping these devices with sensors...

Dynamic Vital Sign estimation for Multiple Persons using mmWave technology

When a patient is in a hospital, it is very important to monitor their vital signs. Doctors and nurses use this information to assess the condition of the patient. Most of the existing vital signs measurement devices need physical contact with the patient. This thesis focuses on a non-contact vital signs estimation method. Using a mmWave radar,...

Optimizing Connection Establishment and Parameter Adaptation in Bluetooth Low-Energy for Intermittently-powered Devices

The growing field of research into batteryless or intermittent systems has enabled Internet of Things applications that were previously impossible. For example, the FreeBie system recently introduced Bluetooth Low-Energy (BLE)<br/>to intermittent devices, making medium to long range bi-directional communication a reality for the first time....

Efficient Memory Architecture for Next Generation Low-Power Embedded Systems

In this thesis we propose a novel memory architecture design that is robust to frequent memory failures targeting next generation low power embedded system. We explore the how the architecture works and perform detailed evaluations to show that our system achieves better performance than the state-of-the-art.

Keeping Track of Time on Energy Harvesting Systems

Energy-harvesting devices have enabled Internet of Things applications that were impossible before. Power failures are the norm for these battery-less devices, imposing a challenge to maintain a continued notion of time on these energy restricted devices. To address this challenge we introduce a novel time measurement architecture for energy...

Command Recognition on Intermittently-Powered Devices

The Internet of Things (IoT) is expected to include billions of tiny devices that collect, process, and communicate sensory data. As of now, batteries power these devices. Batteries, however, are large, expensive, and short-lived - even the rechargeable ones wear out in a few years. Therefore, they are not a sustainable powering solution. Tiny...

Embedded Control System for Calibrating Gas Analysers

This Thesis report will discuss the development of embedded control systems for process control (in this case for the calibration of a gas analyser). The main research question being: Which control algorithm will be able to achieve the most optimal calibration procedure? A calibration bench which will be used to create a specific condition (gas...