Earables have emerged as a unique platform for ubiquitous computing by augmenting ear-
worn devices with state-of-the-art sensing. This new platform has spurred a wealth of new …

Objective: To present an overview of how artificial intelligence (AI) could be used to regulate
eating and dietary behaviours, exercise behaviours and weight loss. Design: A sco** …

We present a low power multi-modal patch designed for measuring activity, altitude (based
on high-resolution barometric pressure), a single-lead electrocardiogram, and a tri-axial …

The authors discuss the vast application potential of multipurpose smart eyeglasses that
integrate into the form factor of traditional spectacles and provide frequently needed sensing …

Objective: To estimate instantaneous oxygen uptake VO 2 with a small, low-cost wearable
sensor during exercise and daily activities in order to enable monitoring of energy …

Background Accelerometers were traditionally worn on the hip to estimate energy
expenditure (EE) during physical activity but are increasingly replaced by products worn on …

We present a multi-device and multi-modal dataset, called WEEE, collected from 17
participants while they were performing different physical activities. WEEE contains:(1) …

A major limitation in nutritional science is the lack of understanding of the nutritional intake of
free-living people. There is an inverse relationship between accuracy of reporting of energy …

Hypovolemia is a physiological state of reduced blood volume that can exist as either (1)
absolute hypovolemia because of a lower circulating blood (plasma) volume for a given …

Background Total knee replacement currently lacks robust indications and objective follow-
up metrics. Patients and healthcare staff are under-equipped to optimise outcomes. This …