Joint human motion recognition and breathing frequency estimation for indoor healthcare applications

The challenge of dealing with patients suffering from chronic diseases and an aging population requires evolving from traditional hospital-based healthcare systems into a person-centered approach, where patients can be monitored remotely via modern technologies by cost-effective and reliable solutions based on emerging technologies in the...

Classification of Birds and Drones Exploiting Kinematic Properties for Surveillance Radars Using Machine Learning Techniques

Small UAVs and in particular the class of micro-UAVs, whose mass is below 2 kg, are constantly rising in popularity for personal as well as professional use, since they are beneficial in many fields such as defense, transportation, monitoring and agriculture. In spite of their advantages, UAVs can be used for terrorist attacks to fly over...

Point Transformer-Based Human Activity Recognition using high-dimensional Radar Point Clouds

Today, with increasingly aging population, healthcare systems in many countries need to improve their effectiveness, and the automatic HAR technology can be beneficial. This can provide early diagnosis of changes in behavioral patterns in the home environment, without hospitalization, and detect critical events such as falls in a timely manner....

People Counting Using Low-cost FMCW MIMO Radar: Achieving Tracking for Counting and Classification of Groups of People using FMCW Radar

For the development of automatic People Counting systems, radar is increasingly becoming a popular technology because of the increasingly stringent privacy requirements for people demographic information and the requirement to operate in a challenging environment. Because of the complexity of multi-target movement and the diversity of...

Multiple people detection and localization with multistatic UWB radar in multipath environments for the automotive industry

In the Roadmap of 2025, EURO NCAP has announced that it will reward car manufacturers that include Child Presence Detection (CPD) technologies in their vehicles starting from 2022. Additionally, seat belt detectors are currently based on pressure sensors which can be falsely triggered with large objects placed on the seats. By basing the...

Bayesian Compressive Sensing For Radar Based DoA Estimation Using Sparse Sensor Arrays

Direction of Arrival (DoA) estimation is an important topic in radar application and has significant importance for advanced driver assistant systems in the automotive industry. While there is an increasing need for higher resolution and increased target detection and DoA estimation performance, such improvements often require increased hardware...

Automatic Classification of Unmanned Aerial Vehicles with Radars On-The-Move

Drone detection and tracking systems are nowadays a requirement in most public, private and political events, because of the increasing risk of unintentional or malicious misuse of these platforms. Moreover, in order to ensure adequate protection, full spatial coverage is a must for every such system. However, the research literature focuses on...

Multiple Target Tracking and Human Activity Recognition based on The IR-UWB Radar Sensor Networks

Performing joint tracking and classification is the ultimate goal for many radar-based applications. For example, in indoor monitoring scenario, it is important to know the target's position as well as the related activities performed by that target. However, the literature often treats the joint problem independently due to its complexity. As a...

Contactless Vital Signs Monitoring via Radar Sensing for Sleep Applications

Radar-Based Classification of Unmanned Aerial Vehicles (UAVs) Carrying Payloads

Unmanned Aerial Vehicles (UAVs), commonly referred to as drones have gained increasing popularity with current technological breakthroughs. Recent reports indicate the number of registered drones in the United States have crossed 850,000 and is expected to increase multi-fold over the coming years. The widespread applications of drones include...

Development of radar-based vital sign detection and indoor target localization algorithms

In the last two decades, radar-based contactless vital signs monitoring (heartbeat and respiration rate) has raised increasing interest as an emerging approach for healthcare and complementary for other more established technologies. Heartbeat and respiration induce only very subtle rhythmic changes in the reflected radar signature, whereas the...

Radar based human vital sign detection in cars: Signal processing

In this thesis signal processing techniques for the Ultra-wide-band impulse radar (UWB-IR) radar are dis-cussed. To context wherein these algorithms are used is in a car, with the aim of detecting a child left behind in the car. This thesis also touches on algorithms to obtain vital information of the child inside the car. To this end a...

Radar Based Human Vital Sign Detection In Cars: A System Analysis

This thesis analyses different radar systems for sensing chest movement to detect human presence inside a car. The detection in this thesis is limited to sensing breathing rate, although heartbeat detection is considered a possibility. A comparison is made between CW-, FMCW-, pulsed- and UWB pulsed radar. UWB pulsed radar was chosen to be a...

Radar Based Human Vital Signs Detection in Cars: State of the Art Analysis

This thesis compares several technologies to detect human vital signs in cars, in particular respiration and heartbeat, to avoid babies from being left behind in the car. The thesis starts with imposing mandatory and trade-off requirements. The thesis continues with a global overview of the possible technologies based on a literature study. The...