Recent technological advances in analogue and digital electronics as well as in hardware miniaturization have taken wireless sensing devices to another level by introducing low-power communication protocols, improved digital signal processing capabilities and compact sensors. When these devices perform a certain pre-defined signal processing (SP) task such as the estimation or detection of phenomena of interest, a cooperative scheme through ...
Design of distributed signal processing algorithms and scalable hardware platforms for energy-vs-performance adaptive wireless acoustic sensor networks. KU Leuven
Wireless acoustic sensor networks (WASNs) consist of a set of battery-powered nodes, distributed over a wide area and equipped with acoustic sensors (microphones) as well as processing and wireless communication facilities. The nodes cooperate by exchanging pre-processed microphone signals to perform signal processing (SP) tasks, such as for instance a speech enhancement task. State-of-the-art instantiations however suffer from fast battery ...
Electroencephalography or EEG can be used in a wide range of applications like diagnosing disorders like epilepsy, Brain Computer Interfaces or in neural prostheses. These mentioned applications require continuous EEG monitoring. They are what we call chronic neuromonitoring applications. Chronic neuromonitoring is impractical with traditional bulky EEG headsets. But recent surge of miniature EEG devices make it possible. But these devices ...
In order to unlock the large potential of wireless acoustic sensor networks, this project aims at one hand to develop acoustic array processing algorithms accounting for unknown sensor positions, dynamic subset selection, synchronisation, and distributed operation. On the other hand it aims to develop self-organising, low-latency networking solutaions for sensor networks supporting speech and audio applications with high traffic loads.
Distributed digital signal processing algorithms for highdensity wireless EEG sensor networks with application to ASSR based objective hearing thresholds estimation KU Leuven
Electroencephalography (EEG) is used to analyze brain activity and detect brain responses to specific stimuli. It offers a high temporal resolution versus a low spatial resolution. A higher spatial resolution may be obtained by adopting a higher electrodes density together with powerful digital signal processing (DSP) algorithms. However, hundreds of electrodes then have to be wired to an output device that collects and processes all ...
Processing visual sensor data in low-power wide area networks Ghent University
Low-power wide area networks (LPWAN) have witnessed a rapid evolution, with many important actors massively investing research efforts in this area. These networks connect low-power sensing devices which continuously perform measurements and emit small amounts of data. Important recent LPWAN developments include the LoRa, SigFox and IEEE 802.11ah technologies. From a different perspective, as consequence of precipitous advancements and ...
Distributed signal processing algorithms for wireless EEG sensor networks with applications in auditory-based brain-computer interfaces. KU Leuven
Distributed signal processing algorithms for auditory attention detection with chronic EEG sensor networks KU Leuven
WaMIP - Economic / technical feasibility study to measure pesticides via a MIP-based sensor at vegetable processing companies Ghent University
The global objective of this study is to demonstrate the feasibility of developing an in-line Molecular
Imprinted Polymer (MlP) sensor for measuring specific components (pesticides, biocides, micro-organisms)
in the washing water of potatoes and vegetables, in order to optimize the (re) use of washing water.