The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …

Wearable devices monitoring food intake through passive sensing is slowly emerging to
complement self-reporting of users' caloric intake and eating behaviors. Though the ultimate …

ObjectiveTo develop an artificial intelligence (AI)-based algorithm which can automatically
detect food items from images acquired by an egocentric wearable camera for dietary …

Presence of speech and motion artifacts has been shown to impact the performance of
wearable sensor systems used for automatic detection of food intake. This work presents a …

This paper describes a study to test the accuracy of a method that tracks wrist motion during
eating to detect and count bites. The purpose was to assess its accuracy across …

Food intake and eating habits have a significant impact on people's health. Widespread
diseases, such as diabetes and obesity, are directly related to eating habits. Therefore …

The goal of this paper is to evaluate the feasibility of using a 3-axis accelerometer attached
to the frame of eyeglasses for automatic detection of food intake. A 3-D acceleration sensor …

Here we present a new method for automatic and objective monitoring of ingestive
behaviors in comparison with other facial activities through load cells embedded in a pair of …

The threat of obesity, diabetes, anorexia, and bulimia in our society today has motivated
extensive research on dietary monitoring. Standard self-report methods such as 24-h recall …

Oral monitoring plays an essential role in preventing and diagnosing systemic diseases
through saliva in the mouth. Dietary monitoring is also crucial to reduce the likelihood of …