With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity
recognition methods using accelerometers. The paper is particularly focused on long-term …

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 …

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 …

Abstract Structural Health Monitoring (SHM) has mainly been undertaken on larger bridges
and on a case-by-case basis. This is due to a range of factors, such as the high installation …

The last decade has seen exponential growth in the field of deep learning with deep
learning on microcontrollers a new frontier for this research area. This paper presents a case …

Continuous monitoring of complex activities is valuable for understanding human behavior
and providing activity-aware services. At the same time, recognizing these activities requires …

Cryptography is one of the most widely employed means to ensure confidentiality in the
Internet of Things (IoT). Establishing cryptographically secure links between IoT devices …

Internet of Things (IoT) connectivity has a prominent presence in the 5G wireless
communication systems. As these systems are being deployed, there is a surge of research …

This paper presents Vesta, a digital health platform composed of a smart home in a box for
data collection and a machine learning based analytic system for deriving health indicators …