Student Projects

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... Continue

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... Continue

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 senso... Continue

Course/Project description Chewing is an essential component of eating. Chewing cycles can be recorded using various sensors and detected applying appropriate algorithms. However, evaluating a chewing detection algorithm is usually difficult due to the lack of accurate ground truth. It is even more... Continue

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 ques... Continue

Course description Nordic Walking is a complex sport including interactions between upper and lower-body and body-sides. Nordic Walking provides many health benefits, i.e. cardio-vascular fitness when performed correctly [cite 77PC8SN4 AR5ZX563]. In this work, we aim to extend our analysis for the ... Continue

Course/Project description Chewing produces sound and this vibration also travels in the head, that’s why we can hear and estimate what we are eating. In this project, we will establish a procedure of food texture classification using eyeglasses integrated sensors (vibration sensor and microphone),... Continue

Course description To monitor eating, we attach dry electrodes on eyeglasses to measure EMG signals from Temporalis muscles. Due to head shape variation, dry electrodes usually face bad skin contact issue, which impairs EMG signal quality. The project aims at solving this problem by designing a mec... Continue

Course description Sleep is a natural recovering mechanism, implying behaviour during the night. Quality of sleep has an impact on daily life and is indicator for general health. Automatic sleep assessment without conditioning the patient status is a grand-challenge for the state-of-the-art technol... Continue

Course Description Water is an essential component of human body. It serves vital functions as component of the cells, transporter of nutrients and remover of waste, regulator of body temperature, and so forth. Technological solutions for continuous hydration monitoring using wearable technology ar... Continue