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

An emerging number of  methods are proposed for eating event detection. To assess the detection performance, evaluation metrics such as precision, recall and F1 score are commonly used. However, these popular metrics only give overview of event retrieval performance and do not tell people the absolu... 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

WISEglass aims to realise smart eyewear with the perception, performance, and handling of regular eyeglasses. Our approach is based on the observation that most of our senses, vitals, and action involve the head. Smart eyeglasses with regular look thus offer unique and continuous insight into human... Continue