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 …

The development of big data, machine learning, and the Internet of Things has led to rapid
advances in the research field of Active and Assisted Living (AAL). A human is placed in the …

Food intake levels, hydration, ingestion rate, and dietary choices are all factors known to
impact the risk of obesity. This paper presents a novel wearable system in the form of a …

Good nutrition is essential for optimal growth, development, and prevention of disease. Due
to the importance of nutrition in human life, researchers have been interested in …

In this work, we present an ensemble for automated music genre classification that fuses
acoustic and visual (both handcrafted and nonhandcrafted) features extracted from audio …

Advancing the quality of healthcare for senior citizens with chronic conditions is of great
social relevance. To better manage chronic conditions, objective, convenient, and …

Background Conventional diet assessment approaches such as the 24-hour self-reported
recall are burdensome, suffer from recall bias, and are inaccurate in estimating energy …

This paper proposes a feature extraction method for environmental sound event
classification based on time-frequency representation such as spectrogram. There are three …

People nowadays often ignore the importance of proper hydration. Water is indispensable to
the human body's function, including maintaining normal temperature, getting rid of wastes …

Background Prior research has shown a correlation between poor dietary habits and
countless negative health outcomes such as heart disease, diabetes, and certain cancers …