The current prominence and future promises of the Internet of Things (IoT), Internet of
Everything (IoE) and Internet of Nano Things (IoNT) are extensively reviewed and a …

The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On
the one hand, energy-constrained sensors are expected to run autonomously for long …

The current statuses and future promises of the Internet of Things (IoT), Internet of Everything
(IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey …

Abstract The Internet of Things (IoT) is becoming an attractive system paradigm, in which
physical perceptions, cyber interactions, social correlations, and even cognitive thinking can …

Human context recognition (HCR) from on-body sensor networks is an important and
challenging task for many healthcare applications because it offers continuous monitoring …

Human Activity Recognition (HAR) on mobile devices has shown to be achievable with
lightweight neural models learned from data generated by the user's inertial measurement …

Abstract The Internet of Things is a term which has emerged to describe the increase of
Internet connectivity of everyday objects. While wireless sensor networks have developed …

In this paper, we provide a real nursing data set for mobile activity recognition that can be
used for supervised machine learning, and big data combined the patient medical records …

Opportunity++ is a precisely annotated dataset designed to support AI and machine learning
research focused on the multimodal perception and learning of human activities (eg, short …

Abstract Human Activity Recognition (HAR) on mobile devices has been demonstrated to be
possible using neural models trained on data collected from the device's inertial …