Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …

Wearable motion tracking sensors are now widely used to monitor physical activity, and
have recently gained more attention in dietary monitoring research. The aim of this review is …

The first step in any dietary monitoring system is the automatic detection of eating episodes.
To detect eating episodes, either sensor data or images can be used, and either method can …

Technology has redefined the way patients and providers communicate and obtain health
information. The realm of digital health encompasses a diverse set of technologies …

Deviant eating behavior such as skipping meals and consuming unhealthy meals has a
significant association with mental well-being in college students. However, there is more to …

Overweight and obesity are both associated with in-meal eating parameters such as eating
speed. Recently, the plethora of available wearable devices in the market ignited the interest …

While the task of automatically detecting eating events has been examined in prior work
using various wearable devices, the use of smartphones as standalone devices to infer …

Snacking, unlike meals, can happen in short, sporadic bursts, often coupled with
distractions, thereby rendering the detection of such episodes a challenging problem …

Many patients with diabetes struggle with post-meal high blood glucose due to missed or
untimely meal-related insulin doses. To address this challenge, our research aims to:(1) …

Malnutrition, including both undernutrition and obesity, is a significant problem in low-and
middle-income countries (LMICs). In order to study malnutrition and develop effective …