In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Food and fluid intake monitoring are essential for reducing the risk of dehydration,
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …

The COVID-19 pandemic has dramatically increased the use of face masks across the
world. Aside from physical distancing, they are among the most effective protection for …

The proliferation of sensors powered by state-of-the-art machine learning techniques can
now infer context, recognize activities and enable interactions. A key component required to …

Continuous and unobtrusive monitoring of facial expressions holds tremendous potential to
enable compelling applications in a multitude of domains ranging from healthcare and …

Often, emotional disorders are overlooked due to their lack of awareness, resulting in
potential mental issues. Recent advances in sensing and inference technology provide a …

Multi-modal sensing systems are increasingly prevalent in real-world applications such as
health monitoring and autonomous driving. Most multi-modal learning approaches need to …

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 …

Various automated eating detection wearables have been proposed to monitor food intakes.
While these systems overcome the forgetfulness of manual user journaling, they typically …

Widely-accepted sleep guidelines advise regular bedtimes and sleep hygiene. An
individual's adherence is often viewed as a matter of self-regulation and anti-procrastination …