New smart technologies and the internet of things increasingly play a key role in healthcare
and wellness, contributing to the development of novel healthcare concepts. These …

The increasing diffusion of tiny wearable devices and, at the same time, the advent of
machine learning techniques that can perform sophisticated inference, represent a valuable …

Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …

In response to users' demand for privacy, trust and control over their data, executing
machine learning tasks at the edge of the system has the potential to make the Internet of …

Acceleration data for activity recognition typically are collected on battery-powered devices,
leading to a trade-off between high-accuracy recognition and energy-efficient operation. We …

Smart sensors are an integral part of the Fourth Industrial Revolution and are widely used to
add safety measures to human–robot interaction applications. With the advancement of …

Modern wearable devices are equipped with increasingly powerful microcontrollers and
therefore are increasingly capable of doing computationally heavy operations, such as …

Decision Trees have been applied widely for classification in many fields such as finance,
marketing, engineering, and medicine. The increased field of application, made the …

Wearable systems constitute a promising solution to the emerging challenges of healthcare
provision, feeding machine learning frameworks with necessary data. In practice, however …

Stride parameters represent basic and useful information on track and field sprint
performance. Contact mats or opto-electronic systems allow precise and unobtrusive …