Projects
Non-invasive real-time monitoring of animal bio-responses using signal processing techniques KU Leuven
Precision Livestock Farming (PLF) is the use of modern technology in sensors, sensing systems (e.g. image, sound, etc.) and real-time modelling to realize the continuous automatic monitoring and management of livestock farming. This project aims to monitor health, behavior, welfare and productivity of animals in real-time. The objective of this project is to investigate if there is a possibility of monitoring vital, physiological and ...
De ontwikkeling van een monitoring systeem voor het opvolgen van celpopulaties in real-time. KU Leuven
Real-time monitoring of mental fatigue in individuals. KU Leuven
Mental fatigue is a common phenomenon in modern society. It causes us to be less able to maintain a constant and efficient performance in mental and/or physical activities. Due to the high amount of negative consequences (for instance making more errors which can be very negative in industry, at work, in surgery, in sports…) this research will focus on developing an algorithm to detect mental fatigue by the use of wearable technology. In ...
Modern applications of the Critical Power model: real-time monitoring of the energy balance during exercise Ghent University
Since more than 50 years, the critical power model provides a mathematical and physiological framework to study human exercise performance and fatigue development. However, only recently, the model has been applied to intermittent exercise, making it a hot topic again for sport and exercise scientists. This modern application bears the potential to predict changes in the energy balance of an individual at any time point during exercise. ...
Data-driven methodology for the real-time monitoring of the remaining useful life of electronic systems KU Leuven
Real-time monitoring of complex surgical lab animal models KU Leuven
A real-time monitoring system for airborne norovirus. KU Leuven
Gastroenteritis, caused by the airborne Norovirus, is the third most deadly infectious disease worldwide, infecting ~4% of the population annually, worldwide, and has related costs measured in billions € annually in the EU alone. Today, detection of airborne viruses can only be done in retrospect in the laboratory, which severely limits the ability to rapidly react and limit the spread of an outbreak. The NOROSENSOR consortium will address ...
Radar sensor system for real-time fall monitoring. KU Leuven
Assistive technologies enabling elderly to stay longer at home are increasing in importance due to the ageing population. A high priority in case of single-person households is the detection of fall incidents, as an undetected fall may lead to severe health conditions. Recently, an approach based on wideband radar sensing has been conceived at KU Leuven that allows for remote fall detection within the home. The first proof-of-principle ...