Course description Wearable sensor technology, particularly inertial measurement sensors are used in various motion analysis including applications in sport, medicine, and rehabilitation of patients after stroke. However, how would a hemiparetic stroke patient attach a sensor to the wrist? The quest...
Seminar description The project aims to develop a physical multi-source model to study and analyze how the body acoustic emissions propagate. The body is a source of different sounds that can indicate whether the human is healthy or not. However, since the structure is composed by different types of...
Seminar description The project aims to collect and analyze acoustic emissions from the digestive system by using wearable sensors and prototypes developed at the Chair. GI sounds recording is a non-invasive method that allows us to gain insight into the gastro-intestinal functionality. We propose t...
Seminar description With the onslaught of fake news and identity politics, the art of the discourse is fading out. Specifically, people have abandoned the dialectic discourse and opted for an “I am right you are wrong” approach. The crux of the matter is that when people are presented with facts...
Course/Project description Temporalis muscles are interesting for different eating monitoring purposes. Compared to medical imaging methods, 3D scanning of the head is much affordable and usually less intrusive. Locating muscles on 3D scanned head model is an explorative and challenging topic. In th...
Course/Project description Head landmarks are the key points that describe the shape of the head attributes, e.g. eyes, nose, and chin etc. Most available landmark detection algorithms focus on the facial landmarks detection, which do not cover ears. However, ears are very important reference positi...
Course/Project description Fitting eyeglasses to head via trial and error is inefficient. The proposed student project aims at automating the eyeglasses fitting process by using head image information with the target to generate eyeglasses frames (key points) using only facial landmarks (key points ...
The aim of the seminar is to design knowledge extraction algorithms based on deep learning techniques for activity recognition in free-living using wearable sensing systems. Challenges will be related to imbalance of target classes, scarcity of computational resources and design of parallel computin...
The aim of the project is to design an energy-efficient context-aware strategy for activity recognition using sparse sampling and sensor data compression. Prototyping will be done in Python. Evaluation will be performed on free-living dataset and benchmarked in terms of energy/memory savings, time c...
Course/Project description Chewing and biting are two interesting targets of dietary monitoring. The proposed student project aims at offering a wearable solution of chewing and biting monitoring in free-living by integrating sensors in smart eyeglasses. In the first stage, chewing and biting sensor...
